-
aamukherjee A Slice of Entropie -
alchymista Alchymista -
crownedrose Fading Like A Dead Star -
expose-the-light Quarks to Quasars -
kenobi-wan-obi CWL -
abluegirl A Blue Girl -
perscientiamlibertas A Matter of the Most Pleasant Fraternal Confidence
kenobi-wan-obi![ikenbot:
Artificial Brain Mimics Human Abilities and Flaws
Side Note: I recommend this fascinating article for anyone who’s been as interested in developments of the brain in the past couple of weeks or in general and the refreshing data about how our pattern recognition works and how it can lead to not only a better understanding of our own minds but also a better understanding into building more accurate artificial intelligence in robots. The accuracy and how natural the intelligence comes off is important if we are to have robots that work for and aid us, if we are to have extensions of what our technology can do with what we know about the human body and brain I think robotics is one way to go about it. It’s like using technology as a canvas and expressing our own biological makeup through it. In this article LS gets into a new software model that accurately replicates certain human-like mistakes with a very limited amount of virtual pattern recognizers. Excuse me for leaving the whole bit of the article I just found it too interesting to leave anything out.
Spaun, a new software model of a human brain, is able to play simple pattern games, draw what it sees and do a little mental arithmetic. It powers everything it does with 2.5 million virtual neurons, compared with a human brain’s 100 billion. But its mistakes, not its abilities, are what surprised its makers the most, said Chris Eliasmith, an engineer and neuroscientist at the University of Waterloo in Canada.
Ask Spaun a question, and it hesitates a moment before answering, pausing for about as long as humans do. Give Spaun a list of numbers to memorize, and it falters when the list gets too long. And Spaun is better at remembering the numbers at the beginning and end of a list than at recalling numbers in the middle, just like people are.
“There are some fairly subtle details of human behavior that the model does capture,” said Eliasmith, who led the development of Spaun, or the Semantic Pointer Architecture Unified Network. “It’s definitely not on the same scale [as a human brain],” he told TechNewsdaily. “It gives a flavor of a lot of different things brains can do.”
Eliasmith and his team of Waterloo neuroscientists say Spaun is the first model of a biological brain that performs tasks and has behaviors. Because it is able to do such a variety of things, Spaun could help scientists understand how humans do the same, Eliasmith said. In addition, other scientists could run simplified simulations of certain brain disorders or psychiatric drugs using Spaun, he said.
A brain with thought and action
Researchers have made several brain models that are more powerful than Spaun. The Blue Brain model at the Ecole Polytechnique Fédérale de Lausanne in France has 1 million neurons. IBM’s SyNAPSE project has 1 billion neurons. Those models aren’t built to perform a variety of tasks, however, Eliasmith said.
Spaun is programmed to respond to eight types of requests, including copying what it sees, recognizing numbers written with different handwriting, answering questions about a series of numbers and finishing a pattern after seeing examples.
Spaun’s myriad skills could shed light on the flexible, variable human brain, which is able to use the same equipment to control typing, biking, driving, flying airplanes and countless other tasks, Eliasmith said. That knowledge, in turn, could help scientists add flexibility to robots or artificial intelligence, he said. Artificial intelligence now usually specializes in doing only one thing, such as tagging photos or playing chess. “It can’t figure out to switch between those things,” he said.
In addition, artificial intelligence isn’t built to mimic the cellular structure of human brains as closely as Spaun and other brain models do. Because Spaun runs more like a human brain, other researchers could use it to run health experiments that would be unethical in human study volunteers, Eliasmith said. He recently ran a test in which he killed off the neurons in a brain model at the same rate that neurons die in people as they age, to see how the dying off affected the model’s performance on an intelligence test.
Such tests would have to be just first steps in a longer experiment, Eliasmith said. The human brain is so much more complex than models that there’s a limit to how much models are able to tell researchers. As scientists continue to improve brain models, the models will become better proxies for health studies, he said.
Next up: a brain in real time
There’s one major way Spaun differs from a human brain. It takes a lot of computingpower to perform its little tasks. Spaun runs on a supercomputer at the University of Waterloo, and it takes the computer two hours to run just one second of a Spaun simulation, Eliasmith said.
So Eliasmith’s next major step for improving Spaun is developing hardware that lets the model work in real time. He’ll cooperate with researchers at the University of Manchester in the U.K. and hopes to have something ready in six months, he said.
In the far future, people may find Spaun’s humanlike flaws deliberately built into robot assistants, Eliasmith said. “Those kinds of features are important in a way because if we’re interacting with an agent and it has a kind of memory that we’re familiar with, it’ll more natural to interact with,” he added.
Eliasmith and his colleagues published their latest paper about Spaun today (Nov. 29) in the journal Science.](http://24.media.tumblr.com/tumblr_megq2hgNk41qbn5m1o1_500.jpg)
Artificial Brain Mimics Human Abilities and Flaws
Side Note: I recommend this fascinating article for anyone who’s been as interested in developments of the brain in the past couple of weeks or in general and the refreshing data about how our pattern recognition works and how it can lead to not only a better understanding of our own minds but also a better understanding into building more accurate artificial intelligence in robots. The accuracy and how natural the intelligence comes off is important if we are to have robots that work for and aid us, if we are to have extensions of what our technology can do with what we know about the human body and brain I think robotics is one way to go about it. It’s like using technology as a canvas and expressing our own biological makeup through it. In this article LS gets into a new software model that accurately replicates certain human-like mistakes with a very limited amount of virtual pattern recognizers. Excuse me for leaving the whole bit of the article I just found it too interesting to leave anything out.
Spaun, a new software model of a human brain, is able to play simple pattern games, draw what it sees and do a little mental arithmetic. It powers everything it does with 2.5 million virtual neurons, compared with a human brain’s 100 billion. But its mistakes, not its abilities, are what surprised its makers the most, said Chris Eliasmith, an engineer and neuroscientist at the University of Waterloo in Canada.
Ask Spaun a question, and it hesitates a moment before answering, pausing for about as long as humans do. Give Spaun a list of numbers to memorize, and it falters when the list gets too long. And Spaun is better at remembering the numbers at the beginning and end of a list than at recalling numbers in the middle, just like people are.
“There are some fairly subtle details of human behavior that the model does capture,” said Eliasmith, who led the development of Spaun, or the Semantic Pointer Architecture Unified Network. “It’s definitely not on the same scale [as a human brain],” he told TechNewsdaily. “It gives a flavor of a lot of different things brains can do.”
Eliasmith and his team of Waterloo neuroscientists say Spaun is the first model of a biological brain that performs tasks and has behaviors. Because it is able to do such a variety of things, Spaun could help scientists understand how humans do the same, Eliasmith said. In addition, other scientists could run simplified simulations of certain brain disorders or psychiatric drugs using Spaun, he said.
A brain with thought and action
Researchers have made several brain models that are more powerful than Spaun. The Blue Brain model at the Ecole Polytechnique Fédérale de Lausanne in France has 1 million neurons. IBM’s SyNAPSE project has 1 billion neurons. Those models aren’t built to perform a variety of tasks, however, Eliasmith said.
Spaun is programmed to respond to eight types of requests, including copying what it sees, recognizing numbers written with different handwriting, answering questions about a series of numbers and finishing a pattern after seeing examples.
Spaun’s myriad skills could shed light on the flexible, variable human brain, which is able to use the same equipment to control typing, biking, driving, flying airplanes and countless other tasks, Eliasmith said. That knowledge, in turn, could help scientists add flexibility to robots or artificial intelligence, he said. Artificial intelligence now usually specializes in doing only one thing, such as tagging photos or playing chess. “It can’t figure out to switch between those things,” he said.
In addition, artificial intelligence isn’t built to mimic the cellular structure of human brains as closely as Spaun and other brain models do. Because Spaun runs more like a human brain, other researchers could use it to run health experiments that would be unethical in human study volunteers, Eliasmith said. He recently ran a test in which he killed off the neurons in a brain model at the same rate that neurons die in people as they age, to see how the dying off affected the model’s performance on an intelligence test.
Such tests would have to be just first steps in a longer experiment, Eliasmith said. The human brain is so much more complex than models that there’s a limit to how much models are able to tell researchers. As scientists continue to improve brain models, the models will become better proxies for health studies, he said.
Next up: a brain in real time
There’s one major way Spaun differs from a human brain. It takes a lot of computingpower to perform its little tasks. Spaun runs on a supercomputer at the University of Waterloo, and it takes the computer two hours to run just one second of a Spaun simulation, Eliasmith said.
So Eliasmith’s next major step for improving Spaun is developing hardware that lets the model work in real time. He’ll cooperate with researchers at the University of Manchester in the U.K. and hopes to have something ready in six months, he said.
In the far future, people may find Spaun’s humanlike flaws deliberately built into robot assistants, Eliasmith said. “Those kinds of features are important in a way because if we’re interacting with an agent and it has a kind of memory that we’re familiar with, it’ll more natural to interact with,” he added.
Eliasmith and his colleagues published their latest paper about Spaun today (Nov. 29) in the journal Science.
(via kenobi-wan-obi)
John McCarthy — The Father of Artificial Intelligence
John McCarthy (September 4, 1927 – October 24, 2011) was an American computer scientist and cognitive scientist.
He invented the term “artificial intelligence” (AI), developed the Lisp programming language family, significantly influenced the design of the ALGOL programming language, popularized timesharing (the sharing of a computing resource among many users by means of multiprogramming and multi-tasking), and was very influential in the early development of AI.
McCarthy received many accolades and honors, such as the Turing Award for his contributions to the topic of AI, the United States National Medal of Science, and the Kyoto Prize.
Artificial Intelligence Could Be on Brink of Passing Turing Test
One hundred years after Alan Turing was born, his eponymous test remains an elusive benchmark for artificial intelligence. Now, for the first time in decades, it’s possible to imagine a machine making the grade.
Turing was one of the 20th century’s great mathematicians, a conceptual architect of modern computing whose codebreaking played a decisive part in World War II. His test, described in a seminal dawn-of-the-computer-age paper, was deceptively simple: If a machine could pass for human in conversation, the machine could be considered intelligent.
Artificial intelligences are now ubiquitous, from GPS navigation systems and Google algorithms to automated customer service and Apple’s Siri, to say nothing of Deep Blue and Watson — but no machine has met Turing’s standard. The quest to do so, however, and the lines of research inspired by the general challenge of modeling human thought, have profoundly influenced both computer and cognitive science.
There is reason to believe that code kernels for the first Turing-intelligent machine have already been written.
“Two revolutionary advances in information technology may bring the Turing test out of retirement,” wrote Robert French, a cognitive scientist at the French National Center for Scientific Research, in an Apr. 12 Science essay. “The first is the ready availability of vast amounts of raw data — from video feeds to complete sound environments, and from casual conversations to technical documents on every conceivable subject. The second is the advent of sophisticated techniques for collecting, organizing, and processing this rich collection of data.”
(via kenobi-wan-obi)
