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Category: robotics/AI – Page 2,614

On a mire humerous note:
AI and particularly robots; can easily pick up on people’s patterns/ styles to the point where they can write your speeches and possibly develop your PowerPoint presentations. Procrastinators will no longer have to stress about pulling their slides together, interns will have more availability to work on projects, and politicians will sound like a pro with this robot.

BTW — the robot in this articile was so good at mimicking the politician; that the robot (just the politician) in the speech kept thanking everyone in the chamber after it yielded time back to the speaker. Maybe our politicians will start sending their robots to vote for them in the future.

Computer researchers have created programs that can do the job quite nicely, explains Brian Fung.

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Self driving cars to reach a $4bil revenue target within 10 yrs.

The White House wants to spend nearly $4 billion on self-driving cars, a move some experts say could help put extra horsepower behind autonomous vehicles and have them cruising America’s streets within the next 10 years.

“That is a serious amount of money,” Wendy Ju, executive director of Stanford’s Center for Design Research, told NBC News.

If those dollars make it into the budget, the money would be used for “pilot programs to test connected vehicle systems in designated corridors throughout the country,” according to the Department of Transportation.

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Artificial intelligence researchers at Google DeepMind are celebrating after reaching a major breakthrough that’s been pursued for more than 20 years: The team taught a computer program the ancient game of Go, which has long been considered the most challenging game for an an artificial intelligence to learn. Not only can the team’s program play Go, it’s actually very good at it.

The computer program AlphaGo was developed by Google DeepMind specifically with the task of beating professional human players in the ancient game. The group challenged the three-time European Go Champion Fan Hui to a series of matches, and for the first time ever, the software was able to beat a professional player in all five of the games played on a full-sized board. The team announced the breakthrough in a Nature article published today.

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In a paper published in Nature on 28th January 2016, we describe a new approach to computer Go. This is the first time ever that a computer program “AlphaGo” has defeated a human professional player.

The game of Go is widely viewed as an unsolved “grand challenge” for artificial intelligence. Games are a great testing ground for inventing smarter, more flexible algorithms that have the ability to tackle problems in ways similar to humans. The first classic game mastered by a computer was noughts and crosses (also known as tic-tac-toe) in 1952. But until now, one game has thwarted A.I. researchers: the ancient game of Go.

Despite decades of work, the strongest computer Go programs only played at the level of human amateurs. AlphaGo has won over 99% of games against the strongest other computer Go programs. It also defeated the human European champion by 5–0 in tournament games, a feat previously believed to be at least a decade away. In March 2016, AlphaGo will face its ultimate challenge: a 5-game challenge match in Seoul against the legendary Lee Sedol—the top Go player in the world over the past decade.

This video tells the story so far…

With Demis Hassabis, Google DeepMind.

Deep Blue photo credit courtesy of International Business Machines Corporation, © International Business Machines Corporation.

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