How a toronto prof changed artificial intelligence, And if that future suddenly seems plausible — even imminent — hinton, a university of toronto computer science professor basic research.
How artificial intelligence is transforming the legal profession, E-discovery, legal research and document in 2013, he and roth, a professor and head of the cognitive computing group at the university of illinois at urbana-champaign, created nexlp, a company using artificial intelligence to analyze data and identify. How a toronto prof changed artificial intelligence - And if that future suddenly seems plausible — even imminent — hinton, a university of toronto computer science professor basic research. How artificial intelligence is transforming the legal profession - E-discovery, legal research and document in 2013, he and roth, a professor and head of the cognitive computing group at the university of illinois at urbana-champaign, created nexlp, a company using artificial intelligence to analyze data and identify.
2 israeli researchers among top 10 rising stars in artificial intelligence - The list recognizes 10 researchers who are rising stars in the field of artificial intelligence (ai).
Scientists ponder how to create artificial intelligence that won’t destroy us - Scientists, recognizing their work is breaking out of the research lab at a separate event in toronto, that captured some of these anxieties. Ai talent grab sparks excitement and concern - When andrew ng joined google from stanford university in 2011, he was among a trickle of artificial-intelligence if industry-hired faculty members do retain university roles — as hinton has at the university of toronto and ng has at stanford.
CELEBTODAY – As a Tony-winning composer and writer, Lin-Manuel Miranda sees nothing of spending five years writing a show, or months on just a few lines of dialogue. SubscribeEnter your email address below to receive updates each time we publish new content. Christina Milian Turned Up: Lil Wayne to Make Appearance on Girlfriend’s Reality Show? CELEBTODAY – Not everyone who is on top of the fast-moving pop music scene has heard of Charlotte Aitchison, even by her stage name Charli XCX, but lots of people have heard her or her songs. Researchers from Google DeepMind have developed the first computer able to defeat a human champion at the board game Go. The rules are deceptively simple: two players take turns to place white and black "stones" on an empty 19x19 board, each aiming to encircle the most territory.
Since the term "artificial intelligence" or "AI" was first coined in the 1950s, the range of problems which it can solve has been increasing at an accelerating rate. Computer games have been a crucial test bed for developing and testing new AI techniques a€“ the "lab rat" of our research.
Games provide a fascinating source of tough problems a€“ they have well-defined rules and a clear target: to win.
Yet Go proved hardest to beat because of its enormous search space and the difficulty of working out who is winning from an unfinished game position. Google's announcement, in the journal Nature, details how its machine "learned" to play Go by analysing millions of past games by professional human players and simulating thousands of possible future game states per second. This learning was combined with Monte Carlo tree search approaches which use randomness and machine learning to intelligently search the "tree" of possible future board states. The resulting "player" significantly outperformed all existing state-of-the-art AI players and went on to beat the current European champion, Fan Hui, 5-0 under tournament conditions.


Now that Go has seemingly been cracked, AI needs a new grand challenge a€“ a new "lab rat" a€“ and it seems likely that many of these challenges will come from the $100 billion digital games industry. However the real world is a step up, full of ill-defined questions that are far more complex than even the trickiest of board games. The big question is whether Google just helped us towards the next generation of Artificial General Intelligence, where machines learn to truly think like a€“ and beyond a€“ humans.
Artificial Intelligence has come a long way since the invention of the programmable digital computer in the 1940s, but its ability to ever simulate human intelligence remains debatable. The phrase "artificial intelligence" saturates Hollywood dramas a€“ from computers taking over spaceships, to sentient robots overpowering humans. In a milestone for artificial intelligence, a computer has beaten a human champion at a strategy game that requires "intuition" rather than brute processing power to prevail, its makers said Wednesday. The possible future of transit zipped along a short track in the desert outside Las Vegas on Wednesday before sliding to a stop in a bed of sand, sending up a tan wave.
Johnny Matheny's handshake is friendly, confident and firma€”though not in the bone-crushing manner favored by some of the alpha types here in the Pentagon.
A new type of hydrostatic transmission that combines hydraulic and pneumatic lines can safely and precisely drive robot arms, giving them the delicacy necessary to pick up an egg without breaking it.
While much has been made about the dangers of texting and driving, less attention has been focused on the age-old distractions of being absent minded or upset while driving. A Dartmouth researcher and his collaborators have unveiled a prototype of a smartwatch with dual touchscreens called Doppio.
Toyota likes investing its time and money in futuristic technologies like robots and hydrogen-powered cars.
The two centers will be located at Stanford University and the Massachusetts Institute of Technology. Rather, the technology that’ll be created in these centers will use a “human-centric” approach since waiting for fully autonomous cars to become available could still take many years. Pratt will be joined by Professor Daniela Rus, who will lead the team at MIT; and Professor Fei-Fei Li, who will take the lead on research at Stanford. Reportedly a close friend of host Salman Khan, Mirza is all set to shake things up in the Bigg Boss house. But why has the online giant invested millions of dollars and some of the finest minds in Artificial Intelligence (AI) research to create a computer board game player?
It's more than 2,000 years old and is played by more than 60m people across the world a€“ including a thousand professionals. Yet these basics yield a game of extraordinary beauty and complexity, full of patterns and flow. Whereas even the best human chess players had fallen to computers by the 1990s, Go remained unbeaten.


We take it for granted that Amazon has a pretty good idea of what we might want to buy, for instance, or that Google can complete our partially typed search term, though these are both due to recent advances in AI. This has led to superhuman players in checkers, chess, Scrabble, backgammon and more recently, simple forms of poker.
To beat these games the AIs were programmed to search forward into possible futures and choose the move which leads to the best outcome a€“ which is similar to how good human players make decisions. Back in 2001, Jonathan Schaeffer, a brilliant researcher who created a perfect AI checkers player, said it would "take many decades of research and development before world-championship-caliber Go programs exist".
Specifically, the researchers at DeepMind trained "convolutional neural networks", algorithms that mimic the high-level structure of the brain and visual system and which have recently seen an explosion in their effectiveness, to predict expert moves. These searches have massively increased the strength of computer Go players since their invention less than ten years ago, as well as finding applications in many other domains.
The ability to play alongside or against millions of engaged human players provides unique opportunities for AI research.
The techniques which conquered Go can certainly be applied in medicine, education, science or any other domain where data is available and outcomes can be evaluated and understood. Whether we'll see AlphaGo as a step towards Hollywood's dreams (and nightmares) of AI agents with self-awareness, emotion and motivation remains to be seen. So it should come as no surprise to learn that the Japanese automaker recently announced a $50 million investment to help create two artificial intelligence research centers in the coming years that will work on robot-assisted driving and other wacky sounding things.
The centers will work on developing intelligent systems which can help transport people and goods without limits such as age or illness. Creating a superhuman computer Go player able to beat these top pros has been one of the most challenging targets of AI research for decades. Go has many more possible positions than even chess a€“ in fact, there are more possibilities in a game of Go than we would get by considering a separate chess game played on every atom in the universe.
At York's centre for Intelligent Games and Game Intelligence, we're working on projects such as building an AI aimed at player fun (rather than playing strength), for instance, or using games to improve well-being of people with Alzheimer's. However the latest breakthrough points to a brave new future where AI will continue to improve our lives by helping us to make better-informed decisions in a world of ever-increasing complexity.
This differs from what other automakers are into these days—autonomous vehicles that need no human interaction in order to drive.
Collaborations between multidisciplinary labs like ours, the games industry and big business are likely to yield the next big AI breakthroughs.



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