Showing posts with label artificial. Show all posts
Showing posts with label artificial. Show all posts
Monday, January 30, 2017
Artificial Intelligence and life beyond the algorithm
Artificial Intelligence and life beyond the algorithm
Alan Turing and the future of computing
Turing is not just a historical figure; his work is still crammed with relevance - and tricky questions.
A statue of Alan Turing at Bletchley Park.
Its hard to choose where Alan Turing had the biggest impact on history. The British mathematician is known as the father of computing thanks to his work on what he called a universal machine - which provided the framework for development of digital computing - and he also helped significantly shorten the Second World War through his work with the codebreakers of Bletchley Park.
But the interest in Turing is not just historical - his work is still relevant to some of the thorniest problems in tech, particularly around artificial intelligence. While a number of other academics and engineers had a role in the creation of digital computing, what sets Turing apart is the breadth of his influence, says S. Barry Cooper a professor of mathematical logic at the University of Leeds.
"He is bringing ideas about computation to different areas and thats whats really significant about Turing - he made all these connections and he had a global over-arching view of how computation worked in many different contexts," he said.
The development of the digital computing upon which we rely was just one element of his thinking. Because even while engineers were struggling over how to turn his theory into physical computers - mechanical giants with glass valves - Turing was already working on even thornier questions, and his work at Bletchley may have helped broaden his outlook, said Cooper, who has co-authored a book on Turing.
"Hes kind of inhabiting a pure mathematical world before going into Bletchley Park and hes forced to engage with real world problems. He comes out the other end and his late work is very much engaged with how the nature of human thinking and the emergence of patterns in nature and so on."
In particular Turings work on artificial intelligence remains relevant and controversial.
"I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted. I believe further that no useful purpose is served by concealing these beliefs," Turing said in his 1950 paper Computing Machinery and Intelligence.
He wasnt right, but the emergence of artificial intelligences whether in the form of Siri or Watson remains a hot area of research. Most famously in this paper Turing outlined The Imitation Game (now the name of a new film about Turing) which he argued could be a method for testing machine intelligence. Its now better known as the Turing Test and while there are a number of variations the basic concept is that a machine that can convince a human of its intelligence should be thought of as a thinking machine.
"The Turing Test has kind of framed peoples thinking. Turing had this knack of focusing on fuzzy problems in kind of rather precise ways. He said well certain questions dont make sense so lets try to pin this down in a practical way," said Cooper.
Turing effectively took a Victorian parlour game and turned it into a piece of modern science. And while the Turing Test has been criticised on a number of levels it also reflects how trying to work out what thinking or intelligent means - and then applying this human concept to machines - is incredibly fraught, and that the appearance of thinking may be the closest we can get.
As Cooper notes: "Maybe there is a theoretical barrier which is being recognised in taking such an approach. Maybe there isnt an algorithm for testing intelligence and in that case what do you have - some kind of empirical approach."
Indeed, while Turings work is responsible for the world of computing which we inhabit, it doesnt necessarily follow that he thought algorithms hold the answer to every question, and we should guard against the assumption that big data can make every decision for us, as Cooper points out. "We have to blame Turing for a lot: the way his work has been interpreted and the primacy of the algorithm these days - and the way in which human thinking has in many ways been marginalised particularly when you are thinking about large organisations."
The computer needs to be kept in context, says Cooper - while it has changed our world and will continue to be important in everything we do, so is the human input which Turing recognises in the Turing Test.
Indeed, Cooper argues that Turings work on artificial intelligence also links up with his work on incomputability - how to solve problems that cannot be solved by using standard digital computing. "Right the way through this 20 year period of discovery hes engaged with not just modelling how we compute but also modelling how we actually transcend what the computer does. Its an amazing body of thinking. This is why he is still significant to us, he was thinking about issues that are still issues for us and in very basic ways that are still valid," he said.
Cooper added: "We havent really got used to the idea that the standard model of computation isnt comprehensive enough to describe whats happening with the internet or whats happening with human thinking or at the quantum level and we are going to have to take that onboard at some point."
He added: "It feels to me that this is Turings revolution in progress now ... its very much part of the way people are thinking about problems now."
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Saturday, January 28, 2017
111 Best HD Artificial Facebook Profile Pictures For Secret Hidden Personality IDs Pack 1
111 Best HD Artificial Facebook Profile Pictures For Secret Hidden Personality IDs Pack 1

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Saturday, October 29, 2016
10 terrifying uses of artificial intelligence
10 terrifying uses of artificial intelligence
1. Robots predicting the future
Nautilus is a supercomputer that can predict the future based on news articles. It is a self-learning supercomputer that was given information from millions of articles, dating back to the 1940s. It was able to locate Osama Bin Laden within 200km.
2. Robot soldiers
Nautilus is a supercomputer that can predict the future based on news articles. It is a self-learning supercomputer that was given information from millions of articles, dating back to the 1940s. It was able to locate Osama Bin Laden within 200km.
2. Robot soldiers
One of the scariest potential uses of AI and robotics is the development of a robot soldier. Although many have moved to ban the use of so-called "killer robots," the fact that the technology could potentially power those types of robots soon is upsetting, to say the least.
3. Schizophrenic robot
Researchers at the University of Texas at Austin and Yale University used a neural network called DISCERN to teach the system certain stories. To simulate an excess of dopamine and a process called hyperlearning, they told the system to not forget as many details. The results were that the system displayed schizophrenic-like symptoms and began inserting itself into the stories. It even claimed responsibility for a terrorist bombing in one of the stories.
4. Economic meltdown
Its no secret that robots and algorithms control many of the major financial and governmental systems around the world, such as trading on Wall Street. But, according to Roman Yampolskiy, the head of the Cybersecurity Lab at the University of Louisville, flaws in those systems could have disastrous consequences.
5. Robots that deceive
In many cases, robots and AI systems seem inherently trustworthyÑwhy would they have any reason to lie to or deceive others? Well, what if they were trained to do just that? Researchers at Georgia Tech have used the actions of squirrels and birds to teach robots how to hide from and deceive one another. The military has reportedly shown interest in the technology.
6. Robot lovers
Among the many ethical concerns posed by robots and the AI systems that power them is the idea that humans could love, or at least copulate with, a robot companion. Companies are already trying to make "sex robots" a reality, and opponents are campaigning against it fervently.
7. Survival robots
In an experiment conducted by the scientists of Intelligent Systems in Switzerland, robots were made to compete for a food source in a single area. The robots could communicate by emitting light and, after they found the food source, they began turning their lights off or using them to steer competitors away from the food source.
8. Police using AI algorithms to predict crimes
Police in certain cities around the US are experimenting with an AI algorithm that predicts which citizens are most likely to commit a crime in the future. Hitachi announced a similar system back in 2015. Maybe the film Minority Report wasnt completely off base in its representation of the future
9. AI-based medical treatment
One of the biggest industries that AI could potentially benefit is healthcare. AI is already in use in many fields of medicine, even helping doctors decide on treatment. But, what if that AI system misses a critical aspect of your medical history or makes the wrong recommendation?
10. Autonomous drones and weapons
There has been much controversy around the use of drones from a civilian sense, but even more so around military use of drones. However, the scary issue isnt that people are piloting these services, but that they can pilot themselves. The US Navy has even given ground transport vehicles the ability to "autonomously identify a target" before carrying out a mission. Think about if a machine decided who is a friend and who is an enemy.
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