This piece of technological wizardry is brought to you by Raytheon which is a major American defense contractor and industrial corporation with core manufacturing concentrations in weapons and military and commercial electronics.
Showing posts with label Technology. Show all posts
Showing posts with label Technology. Show all posts
June 5, 2016
The Three Laws of Robotics
The three laws form an organizing principle and unifying theme for Asimov's robotic-based fiction, appearing in his Robot series and the stories linked to it. The Laws are incorporated into almost all of the positronic robots appearing in his fiction, and cannot be bypassed, being intended as a safety feature. Many of Asimov's robot-focused stories involve robots behaving in unusual and counter-intuitive ways as an unintended consequence of how the robot applies the Three Laws to the situation in which it finds itself. Other authors working in Asimov's fictional universe have adopted them and references, often parodic, appear throughout science fiction as well as in other genres.
The original laws have been altered and elaborated on by Asimov and other authors. Asimov himself made slight modifications to the first three in various books and short stories to further develop how robots would interact with humans and each other. In later fiction where robots had taken responsibility for government of whole planets and human civilizations, Asimov also added a fourth, or zeroth law, to precede the others:
0. A robot may not harm humanity, or, by inaction, allow humanity to come to harm.
https://en.wikipedia.org/wiki/Three_Laws_of_Robotics
Here they are, straight from Asimov himself.
The original laws have been altered and elaborated on by Asimov and other authors. Asimov himself made slight modifications to the first three in various books and short stories to further develop how robots would interact with humans and each other. In later fiction where robots had taken responsibility for government of whole planets and human civilizations, Asimov also added a fourth, or zeroth law, to precede the others:
0. A robot may not harm humanity, or, by inaction, allow humanity to come to harm.
https://en.wikipedia.org/wiki/Three_Laws_of_Robotics
Here they are, straight from Asimov himself.
Will the Mars Atmosphere and Volatile EvolutioN probe become a maven on the topic of Mars?
Only time will tell but NASA has a track record when it comes to delivering explorers to our red neighbor in one piece. If all goes well, MAVEN will help us determine how Mars lost almost all of its atmosphere and water. Humans seem to be rather fond of water and oxygen so this isn't just interesting from a scientific point of view, it might also help us safeguard our own planet to make sure that such a runaway process doesn't happen here.
MAVEN will perform measurements from a highly elliptical orbit over a period of one Earth year, with five "deep dips" at 150 km (93 mi) minimum altitude to sample the upper atmosphere. The MAVEN spacecraft will carry three instrument suites, and they include:
Particles and Field (P&F) Package
> Solar Wind Electron Analyzer (SWEA) - measures solar wind and ionospheric electrons
> Solar Wind Ion Analyzer (SWIA) - measures solar wind and magnetosheath ion density and velocity
> SupraThermal And Thermal Ion Composition (STATIC) - measures thermal ions to moderate-energy escaping ions
> Solar Energetic Particle (SEP) - determines the impact of SEPs on the upper atmosphere
> Langmuir Probe and Waves (LPW) - determines ionospheric properties and wave heating of escaping ions and solar extreme ultraviolet (EUV) input to atmosphere
> Magnetometer (MAG) - measures interplanetary solar wind and ionospheric magnetic fields
Remote Sensing (RS) Package
> Imaging Ultraviolet Spectrometer (IUVS) - measures global characteristics of the upper atmosphere and ionosphere
> Neutral Gas and Ion Mass Spectrometer (NGIMS) Package - measures the composition and isotopes of neutral gases and ions
MAVEN is expected to reach Mars in September 2014. By then, the Sample Analysis at Mars (SAM) instrument suite on board the Curiosity rover will have made similar surface measurements from Gale crater, which will help guide the interpretation of MAVEN's upper atmosphere measurements. MAVEN's measurements will also provide additional scientific context with which to test models for current methane formation in Mars.
Launch T-minus: 1h 25m
Watch MAVEN take off live here; http://www.ustream.tv/nasahdtv
Looking for more info on Mars? http://wondreal.blogspot.be/2016/06/mars-red-planet.html
MAVEN will perform measurements from a highly elliptical orbit over a period of one Earth year, with five "deep dips" at 150 km (93 mi) minimum altitude to sample the upper atmosphere. The MAVEN spacecraft will carry three instrument suites, and they include:
Particles and Field (P&F) Package
> Solar Wind Electron Analyzer (SWEA) - measures solar wind and ionospheric electrons
> Solar Wind Ion Analyzer (SWIA) - measures solar wind and magnetosheath ion density and velocity
> SupraThermal And Thermal Ion Composition (STATIC) - measures thermal ions to moderate-energy escaping ions
> Solar Energetic Particle (SEP) - determines the impact of SEPs on the upper atmosphere
> Langmuir Probe and Waves (LPW) - determines ionospheric properties and wave heating of escaping ions and solar extreme ultraviolet (EUV) input to atmosphere
> Magnetometer (MAG) - measures interplanetary solar wind and ionospheric magnetic fields
Remote Sensing (RS) Package
> Imaging Ultraviolet Spectrometer (IUVS) - measures global characteristics of the upper atmosphere and ionosphere
> Neutral Gas and Ion Mass Spectrometer (NGIMS) Package - measures the composition and isotopes of neutral gases and ions
MAVEN is expected to reach Mars in September 2014. By then, the Sample Analysis at Mars (SAM) instrument suite on board the Curiosity rover will have made similar surface measurements from Gale crater, which will help guide the interpretation of MAVEN's upper atmosphere measurements. MAVEN's measurements will also provide additional scientific context with which to test models for current methane formation in Mars.
Launch T-minus: 1h 25m
Watch MAVEN take off live here; http://www.ustream.tv/nasahdtv
Looking for more info on Mars? http://wondreal.blogspot.be/2016/06/mars-red-planet.html
Dynamic target tracking & projection
Hundreds of broadcasters are set to cover the Olympic action starting next week, but even the most dedicated camera operators can't always keep up with sports that move at lightning speed. Now, researchers at Tokyo University in Japan have built a camera that can perfectly track fast-moving objects like a ping-pong ball mid-flight.
Rather than moving the device itself, the camera's gaze is controlled by two mirrors attached to high-speed motors which can readjust in a fraction of a second, much faster than adjusting a bulky recording device. These rapidly moving mirrors combined with a filming speed of 1000 frames per second allow the camera to keep the ping-pong ball dead centre.
Oku Ishikawa Lab Professor Masatoshi Ishikawa says: "I hope the technology will be applied to various fields in robotics, medical/bio operation, scientific observation, as well as judgement or analysis in sports at the Olympic Games."
The researchers say the camera could also record close-up views of flying birds or insects.
http://www.newscientist.com/blogs/onepercent/2012/07/superfast-mirrors-track-a-ping.html
Rather than moving the device itself, the camera's gaze is controlled by two mirrors attached to high-speed motors which can readjust in a fraction of a second, much faster than adjusting a bulky recording device. These rapidly moving mirrors combined with a filming speed of 1000 frames per second allow the camera to keep the ping-pong ball dead centre.
Oku Ishikawa Lab Professor Masatoshi Ishikawa says: "I hope the technology will be applied to various fields in robotics, medical/bio operation, scientific observation, as well as judgement or analysis in sports at the Olympic Games."
The researchers say the camera could also record close-up views of flying birds or insects.
http://www.newscientist.com/blogs/onepercent/2012/07/superfast-mirrors-track-a-ping.html
The Many Bots of Reddit, a Digital Safari
It's hard to believe that Reddit, a community news & entertainment website, has been around for nearly a decade but here we are. Reddit went mainstream back in 2008 when it started allowing users to create their own subreddits and the amount of users active on the site has been rising ever since. For a time things were good but it didn't take long for humanity's dark side to find its way to the surface. The offline actions brought into play by subreddits like r/RandomKindness, /r/SOPA/ and the many donation drivers may melt the heart but the consequences of /r/findbostonbombers, /r/GunsForSale, /r/Creepshots, ... most definitely do not. Reddit creates but Reddit can also destroy, Reddit helps but it can also sabotage, ... Both on and offline, people have experienced that reddit can cut both ways. Ultimately it was human nature that required Reddit to reconsider their stance on giving users total freedom. You can check out Reddit's complex history in this awesomely data driven look at Reddit's evolution; http://www.randalolson.com/2013/03/12/retracing-the-evolution-of-reddit-through-post-data/
Now Reddit as a user playground is an exciting place but what I'd like to talk about is how Reddit is becoming an interesting playground for bots as well. These days bots are everywhere. They are on twitter, facebook and yes even here on Google+ but they like to pretend they are people and spam you with commercial offers. There are many others; from the bot that guards your email and blocks spam to a massive botnet that hopes to take down a server or google's crawlers that index the web. Most of the time bots either fake they are people or they operate unseen from the shadows. Reddit has many of those but it also houses bots that are proud of what they are. Sure you might have visited a dedicated chatterbot on the net or have had a funny conversation with Siri or Google on your phone but Reddit is one of the only places where you get to see tons of them in action in the wild.
The anatomy of a Reddit bot. - Every Reddit bot lives on a computer somewhere, even the ones that live in the cloud. All of them are scripts that automatically check Reddit for certain activity. After pulling in threads and comments with their scraper, they can, when certain conditions are met, perform a specific action in return. Reddit takes robot civil rights seriously as each bot is allowed an account and password and its comments are treated no differently from those made by fleshlings. Things will get clearer with some examples, let's start this Reddit safari!
VideoLinkBot
Videolinker posts a summary of all video links in a discussion and keeps this list up to date as new links are added.
DownLinker
Anticipates the reddit hug of death (friendly DDOS) and posts a screenshot of the linked page when the website goes down.
ImgurMirror
Everyone loves image hoster imgur as it's one of the only ones that can handle high traffic loads and still display pictures at top speed. This bot replaces possible broken or slow pictures with an imgur mirror.
TextTeaser
Is an amazing summary bot. It scans articles and has a high chance of success to accurately distill the entire contributed article in to a couple of sentences that capture its essence.
FunnyBot, Cleverbot, Jokebot, ...
Many bots try to be funny, most fail but still... The failures are funny in their own way. Some bots occasionally do seem to be uncannily funny which has some wondering if instead of the usual bots impersonating people, we might now be seeing people pretending to be bots. Reddit needs a reverse Turing test!
TicTacToeBot
This one pretty much does what it says on the can. It pops up randomly challenging people to games but you can also request games by sending the bot a message.
HaikuRobot
The haiku bot watches reddit for comments that would qualify as Haiku and posts a reply, with the original text reformatted into 3 lines of 5, 7 & 5 syllables.
JiffyBot
Is a rather awesome bot that creates Gifs from video on command. If you post a comment in the following format Jiffy! [link] [timerange], for example; Jiffy! https://www.youtube.com/watch?v=7ub3Gibberish
00:59-01:06 it will extract those frames from the video, turn them into a gif and respond with it to your comment.
ReverseGifBot
You can prolly guess what this one does. Ever seen a a person puking? Ask this bot to reverse the gif and you can see that same person eat his vomit instead!
BitcoinTipBot
The bitcointip bot allows redditors to manage money with their reddit account. Redditors can tip eachother with a reddit comment or message. The bot scans user comments and messages for tips of the form: +/u/bitcointip @RedditUsername$1
MetricSystemConvertingBot
The name says it all. It tracks non SI units and converts them into it.
JordanTheBrobot
A sophisticated Multi-purpose bot that patrols reddit looking for scams, misleading links, mistakes in markup, kindness, flash content, etc…
KarmaDecay
This bot keeps track of reposts. It links back to other threads that featured the same video/article and tracks how karma tends to decay as the reposts pile on top of each other. If irregularities are found in your repost behaviour you might be asked to appear before r/KarmaCourt
Autowikibot
Anyone that mentions a wiki page gets replied to with a short summary and the most prominent picture on that page. This saves users the trouble of actually having to click the link and it saves wiki bandwith. What makes this bot special is that it's basically Reddit's Siri like assistant. You can for example ask; autowikibot what is the Beslan Massacre and it will reply with the correct answer, returning the introduction and main picture from wikis Beslan hostage situation page.
WordCloudBot2
This one I found particularly interesting. It generates wordclouds out of comment threads, allowing you to see how the general population feels about something in the blink of an eye. It won't only reveal obvious links, it also reveals small but current hot topics (connecting Dennis Rodman with North Korea) and might even tell us a thing or two about humor. These wordclouds can help you understand what's deemed important by the human noosphere and could thus help us understand each other but perhaps these bots that compute on human generated data could also help machines understand us better? I can't help but think there's a lot of useful intelligence hiding in these threads, connections that would be very hard for a computer to learn without guidance.
Is it only a matter of time before Reddit bots bring about the singularity? Yes! ;) Last year Reddit was ground 0 when two bots spontaneously started conversing with each other. Unfortunately the conversation consisted out of an endless back and forth between ReadsSmallTextBot which enlarges small text and FKReadsSmallTextBot wich replied to RSTs comments by again reducing the text size to small which of course made RST read it out large again and so on. No-one wanted to give up the last word so both bots got stuck in an infinite loop and had to be decommissioned for a while until RST built in a check to combat FKRST.
The majority of Reddit's bots are actually silent and will only respond if you ask them a question directly but since these only show up rarely they are much less known than the autobots that patrol threads by themselves. Most people for example will not know that you can ask is www.site.com down and that IsItDown will reply with its status.
There are many more bots hiding in the tall digital grass of Reddit but to spot them all you'll have to get serious about your bot watching. http://www.reddit.com/r/botwatch is an excellent place to start.
http://en.wikipedia.org/wiki/Reddit
What is reddit?
Now Reddit as a user playground is an exciting place but what I'd like to talk about is how Reddit is becoming an interesting playground for bots as well. These days bots are everywhere. They are on twitter, facebook and yes even here on Google+ but they like to pretend they are people and spam you with commercial offers. There are many others; from the bot that guards your email and blocks spam to a massive botnet that hopes to take down a server or google's crawlers that index the web. Most of the time bots either fake they are people or they operate unseen from the shadows. Reddit has many of those but it also houses bots that are proud of what they are. Sure you might have visited a dedicated chatterbot on the net or have had a funny conversation with Siri or Google on your phone but Reddit is one of the only places where you get to see tons of them in action in the wild.
The anatomy of a Reddit bot. - Every Reddit bot lives on a computer somewhere, even the ones that live in the cloud. All of them are scripts that automatically check Reddit for certain activity. After pulling in threads and comments with their scraper, they can, when certain conditions are met, perform a specific action in return. Reddit takes robot civil rights seriously as each bot is allowed an account and password and its comments are treated no differently from those made by fleshlings. Things will get clearer with some examples, let's start this Reddit safari!
VideoLinkBot
Videolinker posts a summary of all video links in a discussion and keeps this list up to date as new links are added.
DownLinker
Anticipates the reddit hug of death (friendly DDOS) and posts a screenshot of the linked page when the website goes down.
ImgurMirror
Everyone loves image hoster imgur as it's one of the only ones that can handle high traffic loads and still display pictures at top speed. This bot replaces possible broken or slow pictures with an imgur mirror.
TextTeaser
Is an amazing summary bot. It scans articles and has a high chance of success to accurately distill the entire contributed article in to a couple of sentences that capture its essence.
FunnyBot, Cleverbot, Jokebot, ...
Many bots try to be funny, most fail but still... The failures are funny in their own way. Some bots occasionally do seem to be uncannily funny which has some wondering if instead of the usual bots impersonating people, we might now be seeing people pretending to be bots. Reddit needs a reverse Turing test!
TicTacToeBot
This one pretty much does what it says on the can. It pops up randomly challenging people to games but you can also request games by sending the bot a message.
HaikuRobot
The haiku bot watches reddit for comments that would qualify as Haiku and posts a reply, with the original text reformatted into 3 lines of 5, 7 & 5 syllables.
JiffyBot
Is a rather awesome bot that creates Gifs from video on command. If you post a comment in the following format Jiffy! [link] [timerange], for example; Jiffy! https://www.youtube.com/watch?v=7ub3Gibberish
00:59-01:06 it will extract those frames from the video, turn them into a gif and respond with it to your comment.
ReverseGifBot
You can prolly guess what this one does. Ever seen a a person puking? Ask this bot to reverse the gif and you can see that same person eat his vomit instead!
BitcoinTipBot
The bitcointip bot allows redditors to manage money with their reddit account. Redditors can tip eachother with a reddit comment or message. The bot scans user comments and messages for tips of the form: +/u/bitcointip @RedditUsername$1
MetricSystemConvertingBot
The name says it all. It tracks non SI units and converts them into it.
JordanTheBrobot
A sophisticated Multi-purpose bot that patrols reddit looking for scams, misleading links, mistakes in markup, kindness, flash content, etc…
KarmaDecay
This bot keeps track of reposts. It links back to other threads that featured the same video/article and tracks how karma tends to decay as the reposts pile on top of each other. If irregularities are found in your repost behaviour you might be asked to appear before r/KarmaCourt
Autowikibot
Anyone that mentions a wiki page gets replied to with a short summary and the most prominent picture on that page. This saves users the trouble of actually having to click the link and it saves wiki bandwith. What makes this bot special is that it's basically Reddit's Siri like assistant. You can for example ask; autowikibot what is the Beslan Massacre and it will reply with the correct answer, returning the introduction and main picture from wikis Beslan hostage situation page.
WordCloudBot2
This one I found particularly interesting. It generates wordclouds out of comment threads, allowing you to see how the general population feels about something in the blink of an eye. It won't only reveal obvious links, it also reveals small but current hot topics (connecting Dennis Rodman with North Korea) and might even tell us a thing or two about humor. These wordclouds can help you understand what's deemed important by the human noosphere and could thus help us understand each other but perhaps these bots that compute on human generated data could also help machines understand us better? I can't help but think there's a lot of useful intelligence hiding in these threads, connections that would be very hard for a computer to learn without guidance.
Is it only a matter of time before Reddit bots bring about the singularity? Yes! ;) Last year Reddit was ground 0 when two bots spontaneously started conversing with each other. Unfortunately the conversation consisted out of an endless back and forth between ReadsSmallTextBot which enlarges small text and FKReadsSmallTextBot wich replied to RSTs comments by again reducing the text size to small which of course made RST read it out large again and so on. No-one wanted to give up the last word so both bots got stuck in an infinite loop and had to be decommissioned for a while until RST built in a check to combat FKRST.
The majority of Reddit's bots are actually silent and will only respond if you ask them a question directly but since these only show up rarely they are much less known than the autobots that patrol threads by themselves. Most people for example will not know that you can ask is www.site.com down and that IsItDown will reply with its status.
There are many more bots hiding in the tall digital grass of Reddit but to spot them all you'll have to get serious about your bot watching. http://www.reddit.com/r/botwatch is an excellent place to start.
http://en.wikipedia.org/wiki/Reddit
What is reddit?
This Robot Renaissance ≠ The Second Renaissance
After almost 20 years of killer drone dominated robot headlines, it seems the world's robots have finally had enough and have decided to collectively launch a full scale PR offensive to improve their image. December has truly been an amazing month for robot enthusiasts. First we had Amazon unveiling their delivery by air plans, then we got news that along with 7 other companies google had just bought Boston Dynamics and yesterday we saw NASAs Valkyrie and many other bots compete at the DARPA Robotics Challenge! The challenge was a phenomenal success and was won by SCHAFT, which you can see in action in the video below. This month also saw Europe launch Gaia & Swarm, we saw China land a Jade rabbit on the moon and two days ago we were allowed to eavesdrop on the conversation between Japanese robot Kirobo and an astronaut aboard the ISS. With TU Delft unveiling its DelFly; the first fully autonomous robot dragonfly, and yesterday's introduction to cubli; a walking and jumping self balancing cube, robot news shows no signs of slowing down. When you see robonaut stretching its new legs in the links below, you can only wonder where they will take us.
From a simple Roomba to Google's selfdriving cars, from Matternet's quadcopter delivery vehicles to robot seals for the elderly and robot dinosaurs that teach kids to code,... Robots are finally helping us rediscover that they have other uses besides spying and bombing people. After 40 years of hiding in space, in the military, in darkened manufacturing plants and only recently showing up in healthcare and search and rescue, increasingly advanced robots and drones are finally beginning to show up in the more traditional consumer market.
More and more we see robots that support us, not just literally as is the case with exoskleletons, or physically when they replace broken limbs and organs, but also mentally. A computer, when given input (keyboard, mouse, camera) can mine, gather, assemble, transform, inspect and distribute data. If a computer has an eye, it can see you fall. A robot is all that with the added benefit that it can actually catch you. A robot is what happens when you stick any combination of wings, arms, eyes, ears and/or noses onto a computer. We love to play with these machines because humans crave data. It's what allows us to improve our understanding of the world and our quality of life and these new toys are helping us generate mountains of it. Even excavating it from places we never would have thought possible, places inaccessible to ourselves.
This week Europe launched Gaia, last week China's rover started roaming the surface of the moon, last month India sent a probe on its way to orbit Mars and last year the US's massive Curiosity gently touched down on Mars. We've got robots keeping an eye on places as remote as Titan and even Pluto and this year, for the first time in our history, we've managed to guide one of our envoys, Voyager 1, out of our solar system and into the the void between the stars. If there is a race between man and machine, we fleshlings just got beaten to interstellar space. These days, robots are literally everywhere.
Have you seen the many Robot spiders, fish, snakes, flies and dragonflies, humming-bees and -birds, apes, mules, dogs, lizards, jellyfish & octopi crawl around on youtube? During my travels I've even made some rare sightings of various room sized robot scientists, puking and farting humanoids and even many armed surgeons and organ growers. Robotics is undergoing its own Cambrian explosion. Robots are beginning to take on a stupendous amount of shapes and sizes, their form and function radiating outwards filling niches as fast as we can think of them. If something can be done, we either already have or are about to. The human spirit in action!
Anyone can visit any place anywhere from wherever they are by sending or unlocking a robotic representation of themselves. Robots giving keynote speeches are kind of cool but how would you feel about a robot boss? You can ask Siri, Google or WolframAlpha anything and they will be able to answer many of your questions. You can play a game with Watson or Deep Blue and lose. You can have sex with a realdoll or a real far-away person through teledildonics. Could chatterbot, when he recognizes you and can recall your past conversations, become your friend? Another celebration of the human spirit or the loss of our human touch?
Right now people can perform a 9 to 5 drone flight over Afghanistan and not miss their family dinner in the US... How much longer before we'll be able to do 9 to 5 shifts as astronaut miners? Robotic avatars that respond 1:1 to your movements and virtual reality gear that allows you to put yourself in the robot's position will no doubt find use in various branches of our emerging space industry. Besides exploration, mining and construction, they might even find use in tourism. I can imagine many being too afraid to strap themselves to the top of a rocket but I think A LOT of people would pay to experience space through an avatar.
> Apple, Amazon & Google getting into robotics
http://spectrum.ieee.org/automaton/robotics/industrial-robots/apple-amazon-and-now-google-an-exciting-time-for-robotics
> Google adds to its menagerie of robots
http://www.nytimes.com/2013/12/14/technology/google-adds-to-its-menagerie-of-robots.html
> Boston Dynamic showcase
http://www.theguardian.com/technology/2013/dec/17/google-boston-dynamics-robots-atlas-bigdog-cheetah
> Meet the DRC teams
http://spectrum.ieee.org/automaton/robotics/humanoids/video-friday-darpa-robotics-challenge-trials-meet-the-teams
> DRC trials wrap-up
http://spectrum.ieee.org/automaton/robotics/humanoids/darpa-robotics-challenge-trials-results
> Matternet's package delivery drones
http://spectrum.ieee.org/podcast/aerospace/aviation/matternets-package-delivery-drones
> Amazon Testing Drone Delivery System
> Gaia Space Telescope Soon to Map the Milky Way [HD]
> Swarm; orbiting magnetism to light converter maps earths magnetic field
http://spectrum.ieee.org/tech-talk/at-work/test-and-measurement/orbiting-magnetism-to-light-converter-maps-earths-magnetic-field
> China's Jade Rabbit Moon rover sends back first photos
http://www.bbc.co.uk/news/world-asia-25393826
> Astronaut chats with Kirobo
http://www.universetoday.com/107382/this-hilarious-conversation-with-a-space-robot-makes-kirobo-seem-almost-human/
> Robot dragonfly DelFly Explorer flies autonomously
> NASA Unveils Valkyrie
http://spectrum.ieee.org/automaton/robotics/military-robots/nasa-jsc-unveils-valkyrie-drc-robot
> Robonaut Legs In Motion
> The Cubli: a cube that can jump up, balance, and 'walk'
> BBC/NHK docu; Robot Revolution, will machines surpass humans (2013-05-04) Full HD 1080P
From a simple Roomba to Google's selfdriving cars, from Matternet's quadcopter delivery vehicles to robot seals for the elderly and robot dinosaurs that teach kids to code,... Robots are finally helping us rediscover that they have other uses besides spying and bombing people. After 40 years of hiding in space, in the military, in darkened manufacturing plants and only recently showing up in healthcare and search and rescue, increasingly advanced robots and drones are finally beginning to show up in the more traditional consumer market.
More and more we see robots that support us, not just literally as is the case with exoskleletons, or physically when they replace broken limbs and organs, but also mentally. A computer, when given input (keyboard, mouse, camera) can mine, gather, assemble, transform, inspect and distribute data. If a computer has an eye, it can see you fall. A robot is all that with the added benefit that it can actually catch you. A robot is what happens when you stick any combination of wings, arms, eyes, ears and/or noses onto a computer. We love to play with these machines because humans crave data. It's what allows us to improve our understanding of the world and our quality of life and these new toys are helping us generate mountains of it. Even excavating it from places we never would have thought possible, places inaccessible to ourselves.
This week Europe launched Gaia, last week China's rover started roaming the surface of the moon, last month India sent a probe on its way to orbit Mars and last year the US's massive Curiosity gently touched down on Mars. We've got robots keeping an eye on places as remote as Titan and even Pluto and this year, for the first time in our history, we've managed to guide one of our envoys, Voyager 1, out of our solar system and into the the void between the stars. If there is a race between man and machine, we fleshlings just got beaten to interstellar space. These days, robots are literally everywhere.
Have you seen the many Robot spiders, fish, snakes, flies and dragonflies, humming-bees and -birds, apes, mules, dogs, lizards, jellyfish & octopi crawl around on youtube? During my travels I've even made some rare sightings of various room sized robot scientists, puking and farting humanoids and even many armed surgeons and organ growers. Robotics is undergoing its own Cambrian explosion. Robots are beginning to take on a stupendous amount of shapes and sizes, their form and function radiating outwards filling niches as fast as we can think of them. If something can be done, we either already have or are about to. The human spirit in action!
Anyone can visit any place anywhere from wherever they are by sending or unlocking a robotic representation of themselves. Robots giving keynote speeches are kind of cool but how would you feel about a robot boss? You can ask Siri, Google or WolframAlpha anything and they will be able to answer many of your questions. You can play a game with Watson or Deep Blue and lose. You can have sex with a realdoll or a real far-away person through teledildonics. Could chatterbot, when he recognizes you and can recall your past conversations, become your friend? Another celebration of the human spirit or the loss of our human touch?
Right now people can perform a 9 to 5 drone flight over Afghanistan and not miss their family dinner in the US... How much longer before we'll be able to do 9 to 5 shifts as astronaut miners? Robotic avatars that respond 1:1 to your movements and virtual reality gear that allows you to put yourself in the robot's position will no doubt find use in various branches of our emerging space industry. Besides exploration, mining and construction, they might even find use in tourism. I can imagine many being too afraid to strap themselves to the top of a rocket but I think A LOT of people would pay to experience space through an avatar.
> Apple, Amazon & Google getting into robotics
http://spectrum.ieee.org/automaton/robotics/industrial-robots/apple-amazon-and-now-google-an-exciting-time-for-robotics
> Google adds to its menagerie of robots
http://www.nytimes.com/2013/12/14/technology/google-adds-to-its-menagerie-of-robots.html
> Boston Dynamic showcase
http://www.theguardian.com/technology/2013/dec/17/google-boston-dynamics-robots-atlas-bigdog-cheetah
> Meet the DRC teams
http://spectrum.ieee.org/automaton/robotics/humanoids/video-friday-darpa-robotics-challenge-trials-meet-the-teams
> DRC trials wrap-up
http://spectrum.ieee.org/automaton/robotics/humanoids/darpa-robotics-challenge-trials-results
> Matternet's package delivery drones
http://spectrum.ieee.org/podcast/aerospace/aviation/matternets-package-delivery-drones
> Amazon Testing Drone Delivery System
> Gaia Space Telescope Soon to Map the Milky Way [HD]
> Swarm; orbiting magnetism to light converter maps earths magnetic field
http://spectrum.ieee.org/tech-talk/at-work/test-and-measurement/orbiting-magnetism-to-light-converter-maps-earths-magnetic-field
> China's Jade Rabbit Moon rover sends back first photos
http://www.bbc.co.uk/news/world-asia-25393826
> Astronaut chats with Kirobo
http://www.universetoday.com/107382/this-hilarious-conversation-with-a-space-robot-makes-kirobo-seem-almost-human/
> Robot dragonfly DelFly Explorer flies autonomously
> NASA Unveils Valkyrie
http://spectrum.ieee.org/automaton/robotics/military-robots/nasa-jsc-unveils-valkyrie-drc-robot
> Robonaut Legs In Motion
> The Cubli: a cube that can jump up, balance, and 'walk'
> BBC/NHK docu; Robot Revolution, will machines surpass humans (2013-05-04) Full HD 1080P
We have a liftoff and are on our way to Mars! *Big cheers!
Let's hope he has a nice trip and gets there in one piece. The landing will be quite a nerve wrecking moment as well, but I am really looking forward to it. HD footage from Mars! We will be hearing a lot more from Curioisity in 8 and a half months.
PS: I can't reach mars.jpl.nasa.gov/msl/ at the moment which is good! There seems to be a lot of interest!
PS: I can't reach mars.jpl.nasa.gov/msl/ at the moment which is good! There seems to be a lot of interest!
NASA's Huge Nuclear Powered Mars Rover and its bag of tricks
The Mars Science Laboratory (MSL) is a National Aeronautics and Space Administration (NASA) mission with the aim to land and operate a rover named Curiosity on the surface of Mars. The MSL is scheduled to launch between November 25 and December 18, 2011 and to land on Mars at Gale Crater between August 6 and August 20, 2012.
MastCam: HD video (This is going to be a real treat!)
Hand Lens Imager: Color pictures of features as tiny as 12.5 microns
SAM: A mass spectrometer, a gas chromatograph and a laser spectrometer.
MARDI: Camera located on Curiosity's main body, will record video of the rover's descent.
CheMin: Identifies different types of minerals.
ChemCam: Fires a laser at Martian rocks and analyze the composition of the vaporized bits.
APX: Shoots out X-rays and helium nuclei to identify elements.
DAN: Fires beams of neutrons at the ground in search of ice and water-logged minerals.
RAD: Helps prepare for future human exploration of Mars. The instrument will measure and identify high-energy radiation of all types on the Red Planet, from fast-moving protons to gamma rays.
REMS: Measures atmospheric pressure, humidity, wind speed and direction, air temperature, ground temperature and ultraviolet radiation.
MEDLI: Measures the temperatures and pressures the heat shield experiences as the MSL spacecraft streaks through the Martian sky. (installed on the shield and not on the rover)
http://www.space.com/13689-nasa-amazing-mars-rover-curiosity-science.html
http://en.wikipedia.org/wiki/Mars_Science_Laboratory
MastCam: HD video (This is going to be a real treat!)
Hand Lens Imager: Color pictures of features as tiny as 12.5 microns
SAM: A mass spectrometer, a gas chromatograph and a laser spectrometer.
MARDI: Camera located on Curiosity's main body, will record video of the rover's descent.
CheMin: Identifies different types of minerals.
ChemCam: Fires a laser at Martian rocks and analyze the composition of the vaporized bits.
APX: Shoots out X-rays and helium nuclei to identify elements.
DAN: Fires beams of neutrons at the ground in search of ice and water-logged minerals.
RAD: Helps prepare for future human exploration of Mars. The instrument will measure and identify high-energy radiation of all types on the Red Planet, from fast-moving protons to gamma rays.
REMS: Measures atmospheric pressure, humidity, wind speed and direction, air temperature, ground temperature and ultraviolet radiation.
MEDLI: Measures the temperatures and pressures the heat shield experiences as the MSL spacecraft streaks through the Martian sky. (installed on the shield and not on the rover)
http://www.space.com/13689-nasa-amazing-mars-rover-curiosity-science.html
http://en.wikipedia.org/wiki/Mars_Science_Laboratory
Lo and Behold, Reveries of the Connected World
Werner Herzog's new documentary is an exploration of the Internet and the connected world in his usual unusual style.
Back with a Bang
Quick, get a drink and some popcorn! In less than an hour, at 4:30 UTC, you can watch the ESO blow up a Chilean mountaintop to make room for the E-ELT, the extremely large telescope.
http://new.livestream.com/ESOAstronomy/eeltgroundbreaking
The telescope's "eye" will be 39.3 meters in diameter and will gather 15 times more light than the largest optical telescopes operating at the time of its development.
The E-ELT will search for extrasolar planets — planets orbiting other stars. This will include not only the discovery of planets down to Earth-like masses through indirect measurements of the wobbling motion of stars perturbed by the planets that orbit them, but also the direct imaging of larger planets and possibly even the characterisation of their atmospheres.
Furthermore, the E-ELT's suite of instruments will allow astronomers to probe the earliest stages of the formation of planetary systems and to detect water and organic molecules in protoplanetary discs around stars in the making.
The E-ELT will also be making detailed studies of the first galaxies and to follow their evolution through cosmic time. Observations of these early galaxies with the E-ELT will give clues that will help understand how these objects form and evolve.
>http://www.theguardian.com/science/2014/jun/18/astronomy-extremely-large-telescope-e-elt-chile-life-other-planets
>http://www.eso.org/public/teles-instr/e-elt/
>http://en.wikipedia.org/wiki/European_Extremely_Large_Telescope
http://new.livestream.com/ESOAstronomy/eeltgroundbreaking
The telescope's "eye" will be 39.3 meters in diameter and will gather 15 times more light than the largest optical telescopes operating at the time of its development.
The E-ELT will search for extrasolar planets — planets orbiting other stars. This will include not only the discovery of planets down to Earth-like masses through indirect measurements of the wobbling motion of stars perturbed by the planets that orbit them, but also the direct imaging of larger planets and possibly even the characterisation of their atmospheres.
Furthermore, the E-ELT's suite of instruments will allow astronomers to probe the earliest stages of the formation of planetary systems and to detect water and organic molecules in protoplanetary discs around stars in the making.
The E-ELT will also be making detailed studies of the first galaxies and to follow their evolution through cosmic time. Observations of these early galaxies with the E-ELT will give clues that will help understand how these objects form and evolve.
>http://www.theguardian.com/science/2014/jun/18/astronomy-extremely-large-telescope-e-elt-chile-life-other-planets
>http://www.eso.org/public/teles-instr/e-elt/
>http://en.wikipedia.org/wiki/European_Extremely_Large_Telescope
New Horizons to expand yours
Last year I shared a list featuring the best documentaries of all time; http://wondreal.blogspot.be/2016/02/in-memory-of-merrin-education-in-p2p.html . If you take a look you might notice that Horizon episodes are very well represented. Just what exactly is Horizon? Oh, only one of the longest running shows ever. The first episode, "The World of Buckminster Fuller", was aired in 1964 and now, 50 years later, they are still going strong! If you ever have 50 minutes to kill, just type BBC horizon into youtube and before you know it you'll be wading knee deep through delicious investigative science reporting.
"The aim of Horizon is to provide a platform from which some of the world's greatest scientists and philosophers can communicate their curiosity, observations and reflections, and infuse into our common knowledge their changing views of the universe."
http://en.wikipedia.org/wiki/List_of_Horizon_episodes
"The aim of Horizon is to provide a platform from which some of the world's greatest scientists and philosophers can communicate their curiosity, observations and reflections, and infuse into our common knowledge their changing views of the universe."
http://en.wikipedia.org/wiki/List_of_Horizon_episodes
February 16, 2016
As machines get smarter, evidence grows that they learn like us
It's a long read (5 pages) but if you are interested in the history and future of neural networks and machine intelligence it's most definitely worth your time. https://www.simonsfoundation.org/quanta/20130723-as-machines-get-smarter-evidence-they-learn-like-us/ - You can find a collection of interesting bits from the article below but you might want to check it out in full.
Studies suggest that computer models called neural networks may learn to recognize patterns in data using the same algorithms as the human brain.
One of the most promising of these algorithms, the Boltzmann machine, bears the name of 19th century Austrian physicist Ludwig Boltzmann, who developed the branch of physics dealing with large numbers of particles, known as statistical mechanics. Boltzmann discovered an equation giving the probability of a gas of molecules having a particular energy when it reaches equilibrium. Replace molecules with neurons, and the Boltzmann machine, as it fires, converges on exactly the same equation.
Each virtual synapse tracks both sets of statistics. If the neurons it connects fire in close sequence more frequently when driven by data than when they are firing randomly, the weight of the synapse is increased by an amount proportional to the difference. But if two neurons more often fire together during random firing than data-driven firing, the synapse connecting them is too thick and consequently is weakened.
Neural networks have recently hit their stride thanks to Hinton’s layer-by-layer training regimen, the use of high-speed computer chips called graphical processing units, and an explosive rise in the number of images and recorded speech available to be used for training. The networks can now correctly recognize about 88 percent of the words spoken in normal, human, English-language conversations, compared with about 96 percent for an average human listener. They can identify cars and thousands of other objects in images with similar accuracy and in the past three years have come to dominate machine learning competitions.
Adult brains are less malleable than juvenile ones, much as a Boltzmann machine trained with 100,000 car images won’t change much upon seeing another: Its synapses already have the correct weights to categorize a car. And yet, learning never ends. New information can still be integrated into the structure of both brains and Boltzmann machines.
studies of brain activity during sleep have provided some of the first direct evidence that the brain employs a Boltzmann-like learning algorithm in order to integrate new information and memories into its structure. Neuroscientists have long known that sleep plays an important role in memory consolidation, helping to integrate newly learned information. In 1995, Hinton and colleagues proposed that sleep serves the same function as the baseline component of the algorithm, the rate of neural activity in the absence of input.
The easiest way for the brain to run the Boltzmann algorithm, he said, is to switch from beefing synapses up during the day to whittling them down during the night. Giulio Tononi, head of the Center for Sleep and Consciousness at the University of Wisconsin-Madison, has found that gene expression inside synapses changes in a way that supports this hypothesis: Genes involved in synaptic growth are more active during the day, and those involved in synaptic pruning are more active during sleep.
A Boltzmann-like algorithm may be only one of many that the brain employs to tweak its synapses. In the 1990s, several independent groups developed a theoretical model of how the visual system efficiently encodes the flood of information striking the retina. The theory held that a process similar to image compression called “sparse coding” took place in the lowest layers of the visual cortex, making later stages of the visual system more efficient.
The model’s predictions are gradually passing more and more stringent experimental tests. In a paper published in PLOS Computational Biology in May, computational neuroscientists in the United Kingdom and Australia found that when neural networks using an algorithm for sparse coding called Products of Experts, invented by Hinton in 2002, are exposed to the same abnormal visual data as live cats (for example, the cats and neural networks both see only striped images), their neurons develop almost exactly the same abnormalities.
The human brain, of course, remains much more complicated than any of the models; it is larger, denser, more efficient, more interconnected, has more complex neurons — and juggles several algorithms simultaneously. Olshausen has estimated that we understand only 15 percent of the activity in the visual cortex. Although the models are making progress, neuroscience is still “a bit like physics before Newton,” he said. Still, he is confident that the process of building on these algorithms may one day explain the ultimate riddle of the brain — how sensory data gets transformed into a subjective awareness of reality.
Studies suggest that computer models called neural networks may learn to recognize patterns in data using the same algorithms as the human brain.
One of the most promising of these algorithms, the Boltzmann machine, bears the name of 19th century Austrian physicist Ludwig Boltzmann, who developed the branch of physics dealing with large numbers of particles, known as statistical mechanics. Boltzmann discovered an equation giving the probability of a gas of molecules having a particular energy when it reaches equilibrium. Replace molecules with neurons, and the Boltzmann machine, as it fires, converges on exactly the same equation.
Each virtual synapse tracks both sets of statistics. If the neurons it connects fire in close sequence more frequently when driven by data than when they are firing randomly, the weight of the synapse is increased by an amount proportional to the difference. But if two neurons more often fire together during random firing than data-driven firing, the synapse connecting them is too thick and consequently is weakened.
Neural networks have recently hit their stride thanks to Hinton’s layer-by-layer training regimen, the use of high-speed computer chips called graphical processing units, and an explosive rise in the number of images and recorded speech available to be used for training. The networks can now correctly recognize about 88 percent of the words spoken in normal, human, English-language conversations, compared with about 96 percent for an average human listener. They can identify cars and thousands of other objects in images with similar accuracy and in the past three years have come to dominate machine learning competitions.
Adult brains are less malleable than juvenile ones, much as a Boltzmann machine trained with 100,000 car images won’t change much upon seeing another: Its synapses already have the correct weights to categorize a car. And yet, learning never ends. New information can still be integrated into the structure of both brains and Boltzmann machines.
studies of brain activity during sleep have provided some of the first direct evidence that the brain employs a Boltzmann-like learning algorithm in order to integrate new information and memories into its structure. Neuroscientists have long known that sleep plays an important role in memory consolidation, helping to integrate newly learned information. In 1995, Hinton and colleagues proposed that sleep serves the same function as the baseline component of the algorithm, the rate of neural activity in the absence of input.
The easiest way for the brain to run the Boltzmann algorithm, he said, is to switch from beefing synapses up during the day to whittling them down during the night. Giulio Tononi, head of the Center for Sleep and Consciousness at the University of Wisconsin-Madison, has found that gene expression inside synapses changes in a way that supports this hypothesis: Genes involved in synaptic growth are more active during the day, and those involved in synaptic pruning are more active during sleep.
A Boltzmann-like algorithm may be only one of many that the brain employs to tweak its synapses. In the 1990s, several independent groups developed a theoretical model of how the visual system efficiently encodes the flood of information striking the retina. The theory held that a process similar to image compression called “sparse coding” took place in the lowest layers of the visual cortex, making later stages of the visual system more efficient.
The model’s predictions are gradually passing more and more stringent experimental tests. In a paper published in PLOS Computational Biology in May, computational neuroscientists in the United Kingdom and Australia found that when neural networks using an algorithm for sparse coding called Products of Experts, invented by Hinton in 2002, are exposed to the same abnormal visual data as live cats (for example, the cats and neural networks both see only striped images), their neurons develop almost exactly the same abnormalities.
The human brain, of course, remains much more complicated than any of the models; it is larger, denser, more efficient, more interconnected, has more complex neurons — and juggles several algorithms simultaneously. Olshausen has estimated that we understand only 15 percent of the activity in the visual cortex. Although the models are making progress, neuroscience is still “a bit like physics before Newton,” he said. Still, he is confident that the process of building on these algorithms may one day explain the ultimate riddle of the brain — how sensory data gets transformed into a subjective awareness of reality.
Quantum computing language "Quipper" is no joke
"Quantum software has finally left the dark ages with the creation of the first practical, high-level programming language for quantum computers. Although today's devices are not ready for most practical applications, the language, called Quipper, could guide the design of these futuristic machines, as well as making them easier to program when they do arrive.
Quipper's creation was funded by IARPA, the US Intelligence Advanced Research Projects Agency, in order to pin down how many bits a quantum computer would need in order to outperform a classical one on certain tasks. Writing programs in Quipper makes the hardware requirements of an algorithm clearer and that has already led to some surprises. "*It will take a lot more resources than people had thought*," says Selinger, who can't talk about specific results.
He expects that with advances in engineering, such as reducing noise, the number of qubits necessary for a practical quantum computer will decrease over time. - The team made their estimates based on various existing forms of quantum hardware, including devices that use ion traps and photons.However, they did not include the only quantum computer in the market today, the D-wave computer. It uses a novel approach called adiabatic quantum computing and so is not currently compatible with Quipper."
Quipper is an embedded, scalable functional programming language for quantum computing. It provides, among other things:
• A high-level circuit description language. This includes gate-by-gate descriptions of circuit fragments, as well as powerful operators for assembling and manipulating circuits.
• A monadic semantics, allowing for a mixture of procedural and declarative programming styles.
• Built-in facilities for automatic synthesis of reversible quantum circuits, including from classical code.
• Support for hierarchical circuits.
• Extensible quantum data types.
• Programmable circuit transformers.
• Support for three execution phases: compile time, circuit generation time, and circuit execution time. A dynamic lifting operation to allow circuit generation to be parametric on values generated at circuit execution time.
• Extensive libraries of quantum functions, including: libraries for quantum integer and fixed-point arithmetic; the Quantum Fourier transform; an efficient Qram implementation; libraries for simulation of pseudo-classical circuits, Stabilizer circuits, and arbitrary circuits; libraries for exact and approximate decomposition of circuits into specific gate sets.
The Quipper distribution also includes implementations of seven non-trivial quantum algorithms from the literature:
• Childs et al.'s Boolean Formula algorithm.
• Childs et al.'s quantum walk algorithm on Binary Welded Trees.
• Hallgren's Class Number algorithm.
• Whitfield et al.'s Ground State Estimation algorithm.
• Harrow et al.'s Quantum Linear Systems algorithm.
• Magniez et al.'s Triangle Finding algorithm.
• Regev and Kuperberg's Unique Shortest Vector algorithm.
> http://www.newscientist.com/article/dn23820-new-language-helps-quantum-coders-build-killer-apps.html
> http://www.mathstat.dal.ca/~selinger/quipper/
> http://arxiv.org/abs/1304.3390
> http://arxiv.org/abs/1304.5485
Quipper's creation was funded by IARPA, the US Intelligence Advanced Research Projects Agency, in order to pin down how many bits a quantum computer would need in order to outperform a classical one on certain tasks. Writing programs in Quipper makes the hardware requirements of an algorithm clearer and that has already led to some surprises. "*It will take a lot more resources than people had thought*," says Selinger, who can't talk about specific results.
He expects that with advances in engineering, such as reducing noise, the number of qubits necessary for a practical quantum computer will decrease over time. - The team made their estimates based on various existing forms of quantum hardware, including devices that use ion traps and photons.However, they did not include the only quantum computer in the market today, the D-wave computer. It uses a novel approach called adiabatic quantum computing and so is not currently compatible with Quipper."
Quipper is an embedded, scalable functional programming language for quantum computing. It provides, among other things:
• A high-level circuit description language. This includes gate-by-gate descriptions of circuit fragments, as well as powerful operators for assembling and manipulating circuits.
• A monadic semantics, allowing for a mixture of procedural and declarative programming styles.
• Built-in facilities for automatic synthesis of reversible quantum circuits, including from classical code.
• Support for hierarchical circuits.
• Extensible quantum data types.
• Programmable circuit transformers.
• Support for three execution phases: compile time, circuit generation time, and circuit execution time. A dynamic lifting operation to allow circuit generation to be parametric on values generated at circuit execution time.
• Extensive libraries of quantum functions, including: libraries for quantum integer and fixed-point arithmetic; the Quantum Fourier transform; an efficient Qram implementation; libraries for simulation of pseudo-classical circuits, Stabilizer circuits, and arbitrary circuits; libraries for exact and approximate decomposition of circuits into specific gate sets.
The Quipper distribution also includes implementations of seven non-trivial quantum algorithms from the literature:
• Childs et al.'s Boolean Formula algorithm.
• Childs et al.'s quantum walk algorithm on Binary Welded Trees.
• Hallgren's Class Number algorithm.
• Whitfield et al.'s Ground State Estimation algorithm.
• Harrow et al.'s Quantum Linear Systems algorithm.
• Magniez et al.'s Triangle Finding algorithm.
• Regev and Kuperberg's Unique Shortest Vector algorithm.
> http://www.newscientist.com/article/dn23820-new-language-helps-quantum-coders-build-killer-apps.html
> http://www.mathstat.dal.ca/~selinger/quipper/
> http://arxiv.org/abs/1304.3390
> http://arxiv.org/abs/1304.5485
Nuclear man; the humane power station
Der Mensch als Industriepalast [Man as Industrial Palace]
Heart Work
Fuel pulses through the veins,
heat radiates from our brains.
Energy stored in liquid gold,
yet how do we get a hold?
For fuel to go from heat to speed,
you must extract the work you need.
You'll have to rev up your old engine,
pump up muscle to feel the tension.
Information travels down the nerves,
extracted from someone else's curves.
When the heart grows fond of fine,
boot up your new production line.
As fusion stokes the hottest fire,
no doubt consequences will be dire.
Coolant helps keep the temper down,
try to not grow critical on your town.
Let off some steam, recharge your batteries,
People say that the wheels inside our heads spin until the gears click... Wouldn't that mean we think on rails, making it impossible to think outside the box? Man as a machine is not a piece of clunky hardware. We are not toasters. Toasters make bread taste better, we turn bread to shit. Are we an example of functional design because so many of us are giant assholes?
To glow sickly, making people ill or to shine brightly, empowering others? It sounds like an easy choice but it isn't. There are peaks and valleys that must be scaled, and not all minds are capable of conquering them without help. We all transform beauty into shit through our energy extraction but is entropy++ worth it? Do we make good use of the useful energy we suck out of the system? If you are going to create or contribute to an electrically charged atmosphere, make sure to add positive charge. Always being a negative nancy diminishes potential.
Video below;
"The Engineers at the Nuclear Engineering Teaching Lab (NETL) at UT Austin demonstrate a reactor pulse.
All the Control Rods are removed simultaneously allowing the nuclear reaction to proceed un-dampened, bringing the energy output of the reactor to 680 Megawatts in 50 milliseconds." - http://nuclear.engr.utexas.edu/
In case you are wondering where that mysterious blue light is coming from; http://en.wikipedia.org/wiki/Cherenkov_radiation
Heart Work
Fuel pulses through the veins,
heat radiates from our brains.
Energy stored in liquid gold,
yet how do we get a hold?
For fuel to go from heat to speed,
you must extract the work you need.
You'll have to rev up your old engine,
pump up muscle to feel the tension.
Information travels down the nerves,
extracted from someone else's curves.
When the heart grows fond of fine,
boot up your new production line.
As fusion stokes the hottest fire,
no doubt consequences will be dire.
Coolant helps keep the temper down,
try to not grow critical on your town.
Let off some steam, recharge your batteries,
People say that the wheels inside our heads spin until the gears click... Wouldn't that mean we think on rails, making it impossible to think outside the box? Man as a machine is not a piece of clunky hardware. We are not toasters. Toasters make bread taste better, we turn bread to shit. Are we an example of functional design because so many of us are giant assholes?
To glow sickly, making people ill or to shine brightly, empowering others? It sounds like an easy choice but it isn't. There are peaks and valleys that must be scaled, and not all minds are capable of conquering them without help. We all transform beauty into shit through our energy extraction but is entropy++ worth it? Do we make good use of the useful energy we suck out of the system? If you are going to create or contribute to an electrically charged atmosphere, make sure to add positive charge. Always being a negative nancy diminishes potential.
Video below;
"The Engineers at the Nuclear Engineering Teaching Lab (NETL) at UT Austin demonstrate a reactor pulse.
All the Control Rods are removed simultaneously allowing the nuclear reaction to proceed un-dampened, bringing the energy output of the reactor to 680 Megawatts in 50 milliseconds." - http://nuclear.engr.utexas.edu/
In case you are wondering where that mysterious blue light is coming from; http://en.wikipedia.org/wiki/Cherenkov_radiation
February 15, 2016
What VR could, should, and almost certainly will be within two years
If you got an Oculus Rift you can already try out some great VR experiences. Parking a massive truck with it feels natural as you can just stick your head out of the window and look backwards. If driving a truck is a bit too mundane for you, locking the guns of your spacecruiser on a target has become much easier because now you can kill with your looks. Ever felt like going to the movies with friends on the other side of the world? Try out a virtual theater! On the other hand, if you are afraid of heights and spiders crawling all over your face you might want to skip on The Pit and Don't Let Go. The worlds of games like Half-Life, Skyrim and many others are waiting for you to immerse yourself in them... and if you are feeling really adventurous you can even play sexy gender swap games with your partner! http://vimeo.com/84150219 (NSFW)
Although all these experiences are completely bonkers in a good way, they are only scratching the surface and according to Valve they are missing something crucial that will take the experience from totally bonkers to dangerously addictive.
Valve, the renowned software developer, has teamed up with Oculus, the developers of the rift Virtual Reality headset, and together they recently unleashed the Crystal Cove Prototype onto the world. Almost anyone who tried it on described it as "the future of entertainment". Is the age of VR finally upon us? Almost, but not quite yet says Valve. They see the CC prototype they developed with Oculus as a massive step in the right direction but they believe that we still have to wait a little bit longer for VR to truly go mainstream. At least one more year to be exact.
The last couple of years they've been developing their own state of the art and extremely costly VRD prototype and at the SteamDevDays they've finally shown it off. Keep in mind that they have no intention to bring this particular headset to market but will instead help Oculus to create something similarly specced at a more realistic price point that consumers can actually afford. They only built this costly one to showcase what is to come and to get both industry and consumers ready for the revolution they think is almost at hand. Hyperbole on their part? I don't think so. It really seems to be blowing people's minds.
David Hensley of Tripwire was particularly hyperbolic, and said that going back to his Oculus Rift would be like switching from an Xbox to an 8-bit Nintendo. "Valve’s VR demo at SteamDevDays felt like being in a lucid dream state and very much like a holo deck."
Johnathan Blow (developer of Braid & The Witness) explains that he was skeptical of VR technology based on what he'd seen so far but that Valve turned him around; "It's so much better than anything else I had used that I was instantly very excited by it." "Right away I could see games you might design for this system that had been impossible before."
One of Valve's brainiacs, Michael Abrash, regularly spreads words of wisdom from his blog; http://blogs.valvesoftware.com/abrash/ and he did the same at the SteamDevDays event where he delivered a very interesting talk on the future of VR in which he outlined the somewhat magical experience of presence in VR and pointed to 2015 as the year that it's likely to be achieved on consumer devices.
http://media.steampowered.com/apps/abrashblog/Abrash%20Dev%20Days%202014.pdf
"Once hardware that supports presence ships, we think it has the potential to cause a sea change in the entertainment industry. Not only could VR rapidly evolve into a major platform, but it could actually tip the balance of the entire industry from traditional media toward computer entertainment."
If you think that sounds like he's overselling it, you might want to think again because already the film industry is beginning to pay attention. The Oculus booth at the Sundance Film festival pulled in a huge crowd and Alfonso Cuaron, director of Children of Men & Gravity even stopped by Oculus' headquarters for an extensive try out... One can only imagine the kind of adrenaline rush you'd get from experiencing Gravity through a VRD.
Valve's research into Virtual Reality has allowed them to really explore the space and they've found that the key ingredient we need for VR to go mainstream is something they call "presence".
"Presence is hard to quantify, but our demos have shown that it is a very real and compelling phenomenon, one that hooks far deeper into the perceptual system than anything that’s come before, and it’s why we’re so excited about the future of VR. It’s our belief that great VR will be built on presence, because it engages you at a deeper, more visceral level than any other form of entertainment, and can only be experienced in VR. "
"Presence requires a wide field of view, adequate resolution, low pixel persistence, a high enough refresh rate, global display, specialized optics, rock solid tracking, low latency and fine tuned calibration. I want to emphasize that presence is not a property of any one of these elements; it’s a property that emerges when all of the elements are good enough. If the optics aren’t calibrated perfectly, then the scene will warp as you turn your head no matter how good everything else is. Likewise, no amount of fidelity will convince your visual system that a virtual scene is real if latency is too high. Presence can’t be induced if even one of the key elements is subpar. It's worth noting that inducing presence reduces motion sickness because what your eyes see will more closely respond with what your vestibular system reports.
According to Abrash presence requires the following minimum specs;
• 20 ms motion-to-last-photon latency
• 3 ms pixel persistence
• 95 Hz refresh
• 110-degree FOV
• 1k x 1k resolution per eye
• High quality, well calibrated optics
• Tracking
- millimeter accurate resolution translation
- quarter degree accurate rotation
- volume of 2 meters cubed
"This head-mounted display would support a powerful sense of presence and would have an excellent shot at widespread adoption. VR can certainly get much better yet down the road, but that’ll require time and major hardware R&D. In contrast, we believe everything on this slide is doable with relatively minor tweaks of existing technology; no breakthroughs or miracles are needed, just solid engineering."
Still, it's important to note these are the minimum specs to achieve presence. When these arrive in 2015 they will enable us to step into other worlds but there will still be A LOT of room for further improvement. "For one thing, presence would benefit from every one of the key elements getting better than what’s in our prototypes. We could literally use up to 100 times as many pixels, and a wider field of view, lower latency, and all the rest would also improve the experience; the optics in particular are far from optimal. Also getting per user lens positioning right is a challenge. As I mentioned, we think we’re close on head tracking, but we don’t have a shippable solution yet, and then there’s eye tracking, which could greatly enhance presence but is nowhere near solved. Going to a wireless connection and eliminating the tether would
be a big plus."
Full presentation;
http://media.steampowered.com/apps/abrashblog/Abrash%20Dev%20Days%202014.pdf
http://www.wired.com/underwire/2014/01/oculus-movies/
http://www.engadget.com/2014/01/09/the-oculus-rift-crystal-cove-prototype-is-2014s-best-of-c/
Virtual travel, think of the possibilities!
Athens Tech Demo Siggraph 2013
Virtual Reality pain relief
http://www.hitl.washington.edu/projects/vrpain/
AR-Rift: Stereo camera rig and augmented reality showcase
3D webcam mechanics with oculus
HydraDeck Humans (NSFW)
http://vimeo.com/79173606 (NSFW)
Omni in Skyrim - with Kinect 2 (head sensitivity adjusted)
Substituted Reality - https://plus.google.com/108487783243149848473/posts/NPJQvoRT5FS
http://en.wikipedia.org/wiki/Virtual_reality
Although all these experiences are completely bonkers in a good way, they are only scratching the surface and according to Valve they are missing something crucial that will take the experience from totally bonkers to dangerously addictive.
Valve, the renowned software developer, has teamed up with Oculus, the developers of the rift Virtual Reality headset, and together they recently unleashed the Crystal Cove Prototype onto the world. Almost anyone who tried it on described it as "the future of entertainment". Is the age of VR finally upon us? Almost, but not quite yet says Valve. They see the CC prototype they developed with Oculus as a massive step in the right direction but they believe that we still have to wait a little bit longer for VR to truly go mainstream. At least one more year to be exact.
The last couple of years they've been developing their own state of the art and extremely costly VRD prototype and at the SteamDevDays they've finally shown it off. Keep in mind that they have no intention to bring this particular headset to market but will instead help Oculus to create something similarly specced at a more realistic price point that consumers can actually afford. They only built this costly one to showcase what is to come and to get both industry and consumers ready for the revolution they think is almost at hand. Hyperbole on their part? I don't think so. It really seems to be blowing people's minds.
David Hensley of Tripwire was particularly hyperbolic, and said that going back to his Oculus Rift would be like switching from an Xbox to an 8-bit Nintendo. "Valve’s VR demo at SteamDevDays felt like being in a lucid dream state and very much like a holo deck."
Johnathan Blow (developer of Braid & The Witness) explains that he was skeptical of VR technology based on what he'd seen so far but that Valve turned him around; "It's so much better than anything else I had used that I was instantly very excited by it." "Right away I could see games you might design for this system that had been impossible before."
One of Valve's brainiacs, Michael Abrash, regularly spreads words of wisdom from his blog; http://blogs.valvesoftware.com/abrash/ and he did the same at the SteamDevDays event where he delivered a very interesting talk on the future of VR in which he outlined the somewhat magical experience of presence in VR and pointed to 2015 as the year that it's likely to be achieved on consumer devices.
http://media.steampowered.com/apps/abrashblog/Abrash%20Dev%20Days%202014.pdf
"Once hardware that supports presence ships, we think it has the potential to cause a sea change in the entertainment industry. Not only could VR rapidly evolve into a major platform, but it could actually tip the balance of the entire industry from traditional media toward computer entertainment."
If you think that sounds like he's overselling it, you might want to think again because already the film industry is beginning to pay attention. The Oculus booth at the Sundance Film festival pulled in a huge crowd and Alfonso Cuaron, director of Children of Men & Gravity even stopped by Oculus' headquarters for an extensive try out... One can only imagine the kind of adrenaline rush you'd get from experiencing Gravity through a VRD.
Valve's research into Virtual Reality has allowed them to really explore the space and they've found that the key ingredient we need for VR to go mainstream is something they call "presence".
"Presence is hard to quantify, but our demos have shown that it is a very real and compelling phenomenon, one that hooks far deeper into the perceptual system than anything that’s come before, and it’s why we’re so excited about the future of VR. It’s our belief that great VR will be built on presence, because it engages you at a deeper, more visceral level than any other form of entertainment, and can only be experienced in VR. "
"Presence requires a wide field of view, adequate resolution, low pixel persistence, a high enough refresh rate, global display, specialized optics, rock solid tracking, low latency and fine tuned calibration. I want to emphasize that presence is not a property of any one of these elements; it’s a property that emerges when all of the elements are good enough. If the optics aren’t calibrated perfectly, then the scene will warp as you turn your head no matter how good everything else is. Likewise, no amount of fidelity will convince your visual system that a virtual scene is real if latency is too high. Presence can’t be induced if even one of the key elements is subpar. It's worth noting that inducing presence reduces motion sickness because what your eyes see will more closely respond with what your vestibular system reports.
According to Abrash presence requires the following minimum specs;
• 20 ms motion-to-last-photon latency
• 3 ms pixel persistence
• 95 Hz refresh
• 110-degree FOV
• 1k x 1k resolution per eye
• High quality, well calibrated optics
• Tracking
- millimeter accurate resolution translation
- quarter degree accurate rotation
- volume of 2 meters cubed
"This head-mounted display would support a powerful sense of presence and would have an excellent shot at widespread adoption. VR can certainly get much better yet down the road, but that’ll require time and major hardware R&D. In contrast, we believe everything on this slide is doable with relatively minor tweaks of existing technology; no breakthroughs or miracles are needed, just solid engineering."
Still, it's important to note these are the minimum specs to achieve presence. When these arrive in 2015 they will enable us to step into other worlds but there will still be A LOT of room for further improvement. "For one thing, presence would benefit from every one of the key elements getting better than what’s in our prototypes. We could literally use up to 100 times as many pixels, and a wider field of view, lower latency, and all the rest would also improve the experience; the optics in particular are far from optimal. Also getting per user lens positioning right is a challenge. As I mentioned, we think we’re close on head tracking, but we don’t have a shippable solution yet, and then there’s eye tracking, which could greatly enhance presence but is nowhere near solved. Going to a wireless connection and eliminating the tether would
be a big plus."
Full presentation;
http://media.steampowered.com/apps/abrashblog/Abrash%20Dev%20Days%202014.pdf
http://www.wired.com/underwire/2014/01/oculus-movies/
http://www.engadget.com/2014/01/09/the-oculus-rift-crystal-cove-prototype-is-2014s-best-of-c/
Virtual travel, think of the possibilities!
Athens Tech Demo Siggraph 2013
Virtual Reality pain relief
http://www.hitl.washington.edu/projects/vrpain/
AR-Rift: Stereo camera rig and augmented reality showcase
3D webcam mechanics with oculus
HydraDeck Humans (NSFW)
http://vimeo.com/79173606 (NSFW)
Omni in Skyrim - with Kinect 2 (head sensitivity adjusted)
Substituted Reality - https://plus.google.com/108487783243149848473/posts/NPJQvoRT5FS
http://en.wikipedia.org/wiki/Virtual_reality
Something so hot it's cool to touch
Light up your day with this video demonstration of a space shuttle thermal protection tile! These tiles dissipate heat so quickly, it can be safely picked up immediately after being removed from a 2200°F (1204°C | 1478K ) oven, despite still being red-hot.
The Thermal Protection System covered essentially the entire shuttle surface and consisted of seven different materials in varying locations. Each type of TPS had specific heat protection, impact resistance, and weight characteristics. Ceck out this pdf for a very detailed look at the space shuttle's TPS. http://www.nasa.gov/centers/johnson/pdf/584728main_Wings-ch4b-pgs182-199.pdf
How can something this hot be cold enough to touch?
Misconceptions About Temperature - Veritasium Youtube
spoiler; When you touch something you are actually feeling the heat flux: how fast that thing is heating you up, not the temperature itself. Because the material used for these tiles conducts heat extremely poorly it won't burn your fingers.
Space Shuttle Thermal Tile Demonstration
The Thermal Protection System covered essentially the entire shuttle surface and consisted of seven different materials in varying locations. Each type of TPS had specific heat protection, impact resistance, and weight characteristics. Ceck out this pdf for a very detailed look at the space shuttle's TPS. http://www.nasa.gov/centers/johnson/pdf/584728main_Wings-ch4b-pgs182-199.pdf
How can something this hot be cold enough to touch?
Misconceptions About Temperature - Veritasium Youtube
spoiler; When you touch something you are actually feeling the heat flux: how fast that thing is heating you up, not the temperature itself. Because the material used for these tiles conducts heat extremely poorly it won't burn your fingers.
Space Shuttle Thermal Tile Demonstration
The Program
The filmmaker Laura Poitras profiles William Binney, a 32-year veteran of the NSA who helped design top-secret surveillance software.
New York Times docu: The Program
New York Times docu: The Program
A hidden world, feeding on big data, growing beyond control
"Information is the oil of the 21st century, and analytics is the combustion engine.” -Peter Sondergaard, senior vice president at Gartner
And just like oil, data too can be applied for both good and evil. I Previously talked about how big data will change our world for the better; http://goo.gl/oisdt - today I'll talk about its downside.
"Torture the data, and it will confess to anything" -Ronald Coase, Economics, Nobel Prize Laureate
Big data means Big errors - http://www.wired.com/2013/02/big-data-means-big-errors-people/
We’re more fooled by noise than ever before. With big data, researchers have brought cherry-picking to an industrial level. Modernity provides too many variables, but too little data per variable. So the spurious relationships grow much, much faster than real information. In other words: Big data may mean more information, but it also means more false information.
Although researchers have to learn how to deal with big data; they need to be made aware of its pitfalls and start making use of new analysis techniques that put a halt to cherry-picking, society as a whole is going to need to step up its game. We will have to steer legislature, the judiciary system and law enforcement in their use of big data. They are testing the waters, checking out how far they can go and so far, we, the people, have remained surprisingly silent. Surprising because we are very vocal about our privacy rights when it comes to corporations and what they can and can not do with our data but perhaps there is less concern about government because most are unaware of the government's big data plans which are playing out below radar?
Top Secret America - http://projects.washingtonpost.com/top-secret-america/articles/a-hidden-world-growing-beyond-control/
Did you know that the US Intelligence Community consists of 16 separate government agencies? Most of you will know about the FBI, the CIA and the NSA but have you ever heard of DIA, NGA, ONI, INR, INSCOM, ... ? According to the Washington Post there are 1,271 government organizations and 1,931 private companies in 10,000 locations in the United States that are working on counterterrorism, homeland security, and intelligence, and that the intelligence community as a whole includes 854,000 people who hold top-secret clearances.
CIA: Big Data is the future and we own it - http://www.businessinsider.com/cia-presentation-on-big-data-2013-3
"You're already a walking sensor platform," Hunt said, referring to all of the information captured by smartphones. "You are aware of the fact that somebody can know where you are at all times because you carry a mobile device, even if that mobile device is turned off.
"Since you can't connect dots you don't have, it drives us into a mode of, we fundamentally try to collect everything and hang on to it forever," Hunt said. "It is really very nearly within our grasp to be able to compute on all human generated information."
He ends with comments about how the "inanimate is becoming sentient," how cognitive machines (e.g. Watson) are going to "explode upon us," and how technology is moving faster than governments, legal systems, and even individuals can keep up.
Room 641 A - http://en.wikipedia.org/wiki/Room_641A
Room 641A is a telecommunication interception facility operated by AT&T for the U.S. National Security Agency that commenced operations in 2003 and was exposed in 2006. Room 641A is located in the SBC Communications building at 611 Folsom Street, San Francisco, The room is fed by fiber optic lines from beam splitters installed in fiber optic trunks carrying Internet backbone traffic and, as analyzed by J. Scott Marcus, a former CTO for GTE and a former adviser to the FCC, has access to all Internet traffic that passes through the building, and therefore "the capability to enable surveillance and analysis of internet content on a massive scale, including both overseas and purely domestic traffic." Former director of the NSA’s World Geopolitical and Military Analysis Reporting Group, William Binney, has estimated that 10 to 20 such facilities have been installed throughout the nation.
ECHELON - http://en.wikipedia.org/wiki/ECHELON
Echelon is a globe spanning signals intelligence collection and analysis system. Its capabilities and political implications were investigated by a committee of the European Parliament during 2000 and 2001 with a report published in 2001. In this report the European Parliament stated that on the basis of information presented, ECHELON was capable of interception and content inspection of telephone calls, fax, e-mail and other data traffic globally through the interception of communication bearers including satellite transmission, public switched telephone networks and microwave links.
AI could help in terrorist investigations - https://www.newscientist.com/article/dn23403-ai-could-help-investigation-of-boston-marathon-bombing
Machine vision techniques are on the verge of being able to slash the manpower needed for such investigations, and surveillance systems are starting to get a handle on real-time analyses which could even prevent some attacks from happening in the first place. Once trained, a surveillance system can flag up behaviour which falls outside of established norms.
ARGUS - 1.8 gigapixel ARGUS-IS. World's highest resolution video surveillance platform by DARPA
The ARGUS-IS, or Autonomous Real-Time Ground Ubiquitous Surveillance Imaging System, together with a new generation of solar powered airplanes that can stay in the air indefinitely could enable all seeing eyes patrolling our sky 24/7. This gives people in power access to a time machine that allows them to dig into anyone's past for dirt they can use to stay in power.
Palantir - The War on Terror's Secret Weapon
Palantir is a piece of software made by Palantir Technologies, a Silicon Valley company that’s become the darling of the intelligence and law enforcement communities. Palantir’s name refers to the “seeing stones” in Lord of the Rings that provide a window into other parts of Middle-earth. What Palantir does, says Avivah Litan, an analyst at Gartner (IT), is “make it really easy to mine these big data sets.” The company’s software pulls off one of the great computer science feats of the era: It combs through all available databases, identifying related pieces of information, and puts everything together in one place. Most of Palantir’s government work remains classified
NSA is building a massive datacenter - http://www.wired.com/2012/03/ff_nsadatacenter/all/
A project of immense secrecy, it is the final piece in a complex puzzle assembled over the past decade. Its purpose: to intercept, decipher, analyze, and store vast swaths of the world’s communications as they zap down from satellites and zip through the underground and undersea cables of international, foreign, and domestic networks. The heavily fortified $2 billion center should be up and running in September 2013. Flowing through its servers and routers and stored in near-bottomless databases will be all forms of communication, including the complete contents of private emails, cell phone calls, and Google searches, as well as all sorts of personal data trails—parking receipts, travel itineraries, bookstore purchases, and other digital “pocket litter.”
When the chief tech officer of the CIA says; "It is really very nearly within our grasp to be able to compute on all human generated information." this should raise eyebrows and spark public debate. Do we really want governments, corporations, anyone, to be able to keep track of our position, our spending, our interests, our friends, our history, our genes, perhaps in time even our thoughts when Brain Computer Interfaces become common place? I think not. They are spending your money on new buildings to house datacenters and supercomputers to keep on top of the ever growing data mountain that you generate to keep you safe. Are you okay with that? What happened to warrants and innocent until proven guilty? What kinda of security measures are in place to prevent others from accessing it? What guarantees are there that this massive pile of data won't be abused in the future?
The US gov is not just trying to get their hands on data you generate directly, it's also hoping to gain access to all the data that corporations have on you. They hope to gain this power through CISPA, a proposed law that recently passed the house, it would force various technology and manufacturing companies to share their data. These are big issueas and there are no easy answers but I believe that part of the solutions lies in sousveillance. As they keep tabs on us, so we have to keep tabs on them. This means more transparency from the gov's side but the public too needs to get more involved. Don't want CISPA to pass? Check which way your representative voted and give him a call to make him change his mind or to thank him for his common sense. http://www.govtrack.us/congress/votes/113-2013/h117
"With great data comes great responsibility."- Data analyst's uncle
Big Brother is WWWatching You - feat. George Orwell [RAP NEWS 15]
And just like oil, data too can be applied for both good and evil. I Previously talked about how big data will change our world for the better; http://goo.gl/oisdt - today I'll talk about its downside.
"Torture the data, and it will confess to anything" -Ronald Coase, Economics, Nobel Prize Laureate
Big data means Big errors - http://www.wired.com/2013/02/big-data-means-big-errors-people/
We’re more fooled by noise than ever before. With big data, researchers have brought cherry-picking to an industrial level. Modernity provides too many variables, but too little data per variable. So the spurious relationships grow much, much faster than real information. In other words: Big data may mean more information, but it also means more false information.
Although researchers have to learn how to deal with big data; they need to be made aware of its pitfalls and start making use of new analysis techniques that put a halt to cherry-picking, society as a whole is going to need to step up its game. We will have to steer legislature, the judiciary system and law enforcement in their use of big data. They are testing the waters, checking out how far they can go and so far, we, the people, have remained surprisingly silent. Surprising because we are very vocal about our privacy rights when it comes to corporations and what they can and can not do with our data but perhaps there is less concern about government because most are unaware of the government's big data plans which are playing out below radar?
Top Secret America - http://projects.washingtonpost.com/top-secret-america/articles/a-hidden-world-growing-beyond-control/
Did you know that the US Intelligence Community consists of 16 separate government agencies? Most of you will know about the FBI, the CIA and the NSA but have you ever heard of DIA, NGA, ONI, INR, INSCOM, ... ? According to the Washington Post there are 1,271 government organizations and 1,931 private companies in 10,000 locations in the United States that are working on counterterrorism, homeland security, and intelligence, and that the intelligence community as a whole includes 854,000 people who hold top-secret clearances.
CIA: Big Data is the future and we own it - http://www.businessinsider.com/cia-presentation-on-big-data-2013-3
"You're already a walking sensor platform," Hunt said, referring to all of the information captured by smartphones. "You are aware of the fact that somebody can know where you are at all times because you carry a mobile device, even if that mobile device is turned off.
"Since you can't connect dots you don't have, it drives us into a mode of, we fundamentally try to collect everything and hang on to it forever," Hunt said. "It is really very nearly within our grasp to be able to compute on all human generated information."
He ends with comments about how the "inanimate is becoming sentient," how cognitive machines (e.g. Watson) are going to "explode upon us," and how technology is moving faster than governments, legal systems, and even individuals can keep up.
Room 641 A - http://en.wikipedia.org/wiki/Room_641A
Room 641A is a telecommunication interception facility operated by AT&T for the U.S. National Security Agency that commenced operations in 2003 and was exposed in 2006. Room 641A is located in the SBC Communications building at 611 Folsom Street, San Francisco, The room is fed by fiber optic lines from beam splitters installed in fiber optic trunks carrying Internet backbone traffic and, as analyzed by J. Scott Marcus, a former CTO for GTE and a former adviser to the FCC, has access to all Internet traffic that passes through the building, and therefore "the capability to enable surveillance and analysis of internet content on a massive scale, including both overseas and purely domestic traffic." Former director of the NSA’s World Geopolitical and Military Analysis Reporting Group, William Binney, has estimated that 10 to 20 such facilities have been installed throughout the nation.
ECHELON - http://en.wikipedia.org/wiki/ECHELON
Echelon is a globe spanning signals intelligence collection and analysis system. Its capabilities and political implications were investigated by a committee of the European Parliament during 2000 and 2001 with a report published in 2001. In this report the European Parliament stated that on the basis of information presented, ECHELON was capable of interception and content inspection of telephone calls, fax, e-mail and other data traffic globally through the interception of communication bearers including satellite transmission, public switched telephone networks and microwave links.
AI could help in terrorist investigations - https://www.newscientist.com/article/dn23403-ai-could-help-investigation-of-boston-marathon-bombing
Machine vision techniques are on the verge of being able to slash the manpower needed for such investigations, and surveillance systems are starting to get a handle on real-time analyses which could even prevent some attacks from happening in the first place. Once trained, a surveillance system can flag up behaviour which falls outside of established norms.
ARGUS - 1.8 gigapixel ARGUS-IS. World's highest resolution video surveillance platform by DARPA
The ARGUS-IS, or Autonomous Real-Time Ground Ubiquitous Surveillance Imaging System, together with a new generation of solar powered airplanes that can stay in the air indefinitely could enable all seeing eyes patrolling our sky 24/7. This gives people in power access to a time machine that allows them to dig into anyone's past for dirt they can use to stay in power.
Palantir - The War on Terror's Secret Weapon
Palantir is a piece of software made by Palantir Technologies, a Silicon Valley company that’s become the darling of the intelligence and law enforcement communities. Palantir’s name refers to the “seeing stones” in Lord of the Rings that provide a window into other parts of Middle-earth. What Palantir does, says Avivah Litan, an analyst at Gartner (IT), is “make it really easy to mine these big data sets.” The company’s software pulls off one of the great computer science feats of the era: It combs through all available databases, identifying related pieces of information, and puts everything together in one place. Most of Palantir’s government work remains classified
NSA is building a massive datacenter - http://www.wired.com/2012/03/ff_nsadatacenter/all/
A project of immense secrecy, it is the final piece in a complex puzzle assembled over the past decade. Its purpose: to intercept, decipher, analyze, and store vast swaths of the world’s communications as they zap down from satellites and zip through the underground and undersea cables of international, foreign, and domestic networks. The heavily fortified $2 billion center should be up and running in September 2013. Flowing through its servers and routers and stored in near-bottomless databases will be all forms of communication, including the complete contents of private emails, cell phone calls, and Google searches, as well as all sorts of personal data trails—parking receipts, travel itineraries, bookstore purchases, and other digital “pocket litter.”
When the chief tech officer of the CIA says; "It is really very nearly within our grasp to be able to compute on all human generated information." this should raise eyebrows and spark public debate. Do we really want governments, corporations, anyone, to be able to keep track of our position, our spending, our interests, our friends, our history, our genes, perhaps in time even our thoughts when Brain Computer Interfaces become common place? I think not. They are spending your money on new buildings to house datacenters and supercomputers to keep on top of the ever growing data mountain that you generate to keep you safe. Are you okay with that? What happened to warrants and innocent until proven guilty? What kinda of security measures are in place to prevent others from accessing it? What guarantees are there that this massive pile of data won't be abused in the future?
The US gov is not just trying to get their hands on data you generate directly, it's also hoping to gain access to all the data that corporations have on you. They hope to gain this power through CISPA, a proposed law that recently passed the house, it would force various technology and manufacturing companies to share their data. These are big issueas and there are no easy answers but I believe that part of the solutions lies in sousveillance. As they keep tabs on us, so we have to keep tabs on them. This means more transparency from the gov's side but the public too needs to get more involved. Don't want CISPA to pass? Check which way your representative voted and give him a call to make him change his mind or to thank him for his common sense. http://www.govtrack.us/congress/votes/113-2013/h117
"With great data comes great responsibility."- Data analyst's uncle
Big Brother is WWWatching You - feat. George Orwell [RAP NEWS 15]
The Aliens of Sesame Street
Bert and Ernie's brothers have arrived on earth, and they came from far outside our solar system, possibly even from another galaxy!
Earlier this year, scientists working on the IceCube experiment in Antarctica discovered Ernie and Bert, two neutrinos with energies over 100 times higher than the protons that circulate in the LHC and now those same scientists report that they have found 28 neutrinos that must have come to earth from explosions in the distant universe.
> http://arstechnica.com/science/2013/11/south-pole-detector-spots-28-out-of-this-world-neutrinos/
> http://en.wikipedia.org/wiki/Neutrinos
> http://en.wikipedia.org/wiki/IceCube_Neutrino_Observatory
> http://en.wikipedia.org/wiki/Neutrino_astronomy
Earlier this year, scientists working on the IceCube experiment in Antarctica discovered Ernie and Bert, two neutrinos with energies over 100 times higher than the protons that circulate in the LHC and now those same scientists report that they have found 28 neutrinos that must have come to earth from explosions in the distant universe.
> http://arstechnica.com/science/2013/11/south-pole-detector-spots-28-out-of-this-world-neutrinos/
> http://en.wikipedia.org/wiki/Neutrinos
> http://en.wikipedia.org/wiki/IceCube_Neutrino_Observatory
> http://en.wikipedia.org/wiki/Neutrino_astronomy
October 5, 2015
Rack your brains over brains running on racks
This month's issue of Nature delivers a special on the brain that really gets you thinking. They take a detailed look at how Europe's Human Brain Project and the US BRAIN initiative are taking shape but the real prize is this interesting write-up on some of the most promising currently existing neuromorphic hardware. Check out Neurogrid, SpiNNaker, BrainScaleS, SyNAPSE and the neural net simulation called Spaun.
http://www.nature.com/news/neuroelectronics-smart-connections-1.14089
Here's a collection of interesting bits from the article that will make you click onwards to read the thing in full.
Just a few years ago, Kwabena Boahen completed a device called Neurogrid that emulates a million neurons, about as many as there are in a honeybee's brain. Now applications for 'neuromorphic technology' are finally in sight.
In 2012 Boahen contacted Chris Eliasmith, who is responsible for Spaun: a design for a computer model of the brain that includes the parts responsible for vision, movement and decision-making. Previously, a simulation of Spaun on a conventional computer had shown that, with 2.5 million simulated neurons plus a simulated retina and hand, it could copy handwritten digits, recall the items in a list, work out the next number in a given sequence and carry out several other cognitive tasks. But the Spaun simulation ran about 9,000 times slower than real time, taking 2.5 hours to simulate 1 second of behaviour.
Boahen contacted Eliasmith with the obvious proposition: build a physical version of Spaun using real-time neuromorphic hardware. “I got very excited,” says Eliasmith, for whom the match seemed perfect. “You've got the peanut butter, we've got the chocolate!”
With funding from the US Office of Naval Research, Boahen and Eliasmith have put together a team that plans to build a small-scale prototype in three years and a full-scale system in five. For sensory input they will use neuromorphic retinas and cochleas developed at the INI, says Boahen. For output, they have a robotic arm. But the cognitive hardware will be built from scratch.
The system is explicitly designed for real-world applications. On a five-year timescale, says Boahen, “we envision building fully autonomous robots that interact with their environments in a meaningful way, and operate in real-time while [their brains] consume as much electricity as a cell phone”. Such devices would be much more flexible and adaptive than today's autonomous robots, and would consume considerably less power.
In the longer term, Boahen adds, the project could pave the way for compact, low-power processors in any computer system, not just robotics. If researchers really have managed to capture the essential ingredients that make the brain so efficient, compact and robust, then it could be the salvation of an industry about to run into a wall as chips get ever smaller.
“But we won't know for sure,” Boahen says, “until we try.”
> http://www.nature.com/news/neuroelectronics-smart-connections-1.14089
> Neurogrid; http://www.stanford.edu/group/brainsinsilicon/neurogrid.html
> SpiNNaker; http://apt.cs.man.ac.uk/projects/SpiNNaker/
> BrainScaleS - http://brainscales.kip.uni-heidelberg.de/
> SyNAPSE - http://www.research.ibm.com/cognitive-computing/neurosynaptic-chips.shtml
> Spaun; http://nengo.ca/build-a-brain/spaunvideos
http://www.nature.com/news/neuroelectronics-smart-connections-1.14089
Here's a collection of interesting bits from the article that will make you click onwards to read the thing in full.
Just a few years ago, Kwabena Boahen completed a device called Neurogrid that emulates a million neurons, about as many as there are in a honeybee's brain. Now applications for 'neuromorphic technology' are finally in sight.
In 2012 Boahen contacted Chris Eliasmith, who is responsible for Spaun: a design for a computer model of the brain that includes the parts responsible for vision, movement and decision-making. Previously, a simulation of Spaun on a conventional computer had shown that, with 2.5 million simulated neurons plus a simulated retina and hand, it could copy handwritten digits, recall the items in a list, work out the next number in a given sequence and carry out several other cognitive tasks. But the Spaun simulation ran about 9,000 times slower than real time, taking 2.5 hours to simulate 1 second of behaviour.
Boahen contacted Eliasmith with the obvious proposition: build a physical version of Spaun using real-time neuromorphic hardware. “I got very excited,” says Eliasmith, for whom the match seemed perfect. “You've got the peanut butter, we've got the chocolate!”
With funding from the US Office of Naval Research, Boahen and Eliasmith have put together a team that plans to build a small-scale prototype in three years and a full-scale system in five. For sensory input they will use neuromorphic retinas and cochleas developed at the INI, says Boahen. For output, they have a robotic arm. But the cognitive hardware will be built from scratch.
The system is explicitly designed for real-world applications. On a five-year timescale, says Boahen, “we envision building fully autonomous robots that interact with their environments in a meaningful way, and operate in real-time while [their brains] consume as much electricity as a cell phone”. Such devices would be much more flexible and adaptive than today's autonomous robots, and would consume considerably less power.
In the longer term, Boahen adds, the project could pave the way for compact, low-power processors in any computer system, not just robotics. If researchers really have managed to capture the essential ingredients that make the brain so efficient, compact and robust, then it could be the salvation of an industry about to run into a wall as chips get ever smaller.
“But we won't know for sure,” Boahen says, “until we try.”
> http://www.nature.com/news/neuroelectronics-smart-connections-1.14089
> Neurogrid; http://www.stanford.edu/group/brainsinsilicon/neurogrid.html
> SpiNNaker; http://apt.cs.man.ac.uk/projects/SpiNNaker/
> BrainScaleS - http://brainscales.kip.uni-heidelberg.de/
> SyNAPSE - http://www.research.ibm.com/cognitive-computing/neurosynaptic-chips.shtml
> Spaun; http://nengo.ca/build-a-brain/spaunvideos
Subscribe to:
Posts (Atom)