At this rate of making machines to behave and interact like humans; we may end up with a world with some really messed up robots.
A new database will gauge progress in artificial intelligence, as computers try to grasp what’s going on in scenes shown in photographs.
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.
A robot manipulated by a glove & it only cost them $150 USD.
Computer engineering students Mohammad Zyoud, Mohammad Atiyyeh and Suhaib Tawafsheh spent eight months working on the self-funded project which cost them around 150 USD.”
Definitely, we’re already seeing the research releases on microbots.
A famed futurist who foresees a day when and human and artificial intelligence merge and nanobots battle disease spoke to CBC’s Duncan McCue about what lies ahead.
Interesting; “Human memory is not the same as computer memory,” said James Kozloski.
An inventor at IBM has patented technology for a cognitive assistant that could learn all about you, then remind you of a name you can’t remember the moment you need to say it.
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.
Google has achieved one of the long-standing “grand challenges” of AI, building a computer capable of beating expert players of the board game Go.
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.
Another Quantum Breakthrough through ultra- low temp nanoelectronics- Sub-millikelvin nanoelectronic circuits and is another step on the way to develop new quantum technologies including quantum computers and sensors.
The first ever measurement of the temperature of electrons in a nanoelectronic device a few thousandths of a degree above absolute zero was demonstrated in a joint research project performed by Lancaster University, VTT Technical Research Centre of Finland Ltd, and Aivon Ltd.
The team managed to make the electrons in a circuit on a silicon chip colder than had previously been achieved.
Dr Rich Haley, Head of Ultra Low Temperature Physics at Lancaster, said: “This is a notable achievement in that the team has finally broken through the 4 millikelvin barrier, which has been the record in such structures for over 15 years.”
And, another breakthrough for Quantum by Russian Scientists. Russian scientists have developed a new way to solve a key problem with cooling plasmonic components, which makes optical chips and super-fast light-based computers a definite possibility. https://lnkd.in/b9kuiSa
Russian scientists discover how to cool plasmonic components to make light-based transistors possible.
