Menu

Blog

Archive for the ‘robotics/AI’ category: Page 2310

Mar 14, 2016

Everything You Know About Artificial Intelligence is Wrong

Posted by in categories: Elon Musk, robotics/AI

Or not.


It was hailed as the most significant test of machine intelligence since Deep Blue defeated Garry Kasparov in chess nearly 20 years ago. Google’s AlphaGo has won two of the first three games against grandmaster Lee Sedol in a Go tournament, showing the dramatic extent to which AI has improved over the years. That fateful day when machines finally become smarter than humans has never appeared closer—yet we seem no closer in grasping the implications of this epochal event.

Indeed, we’re clinging to some serious—and even dangerous—misconceptions about artificial intelligence. Late last year, SpaceX co-founder Elon Musk warned that AI could take over the world, sparking a flurry of commentary both in condemnation and support. For such a monumental future event, there’s a startling amount of disagreement about whether or not it’ll even happen, or what form it will take. This is particularly troubling when we consider the tremendous benefits to be had from AI, and the possible risks. Unlike any other human invention, AI has the potential to reshape humanity, but it could also destroy us.

Continue reading “Everything You Know About Artificial Intelligence is Wrong” »

Mar 14, 2016

Watch 100 Grams of Robot Pull 4,000 Pounds of Car

Posted by in categories: robotics/AI, transportation

Stanford’s μTug minibots are on a roll lately.

The latest battery of experiments at Stanford’s Biomimetics and Dextrous Manipulation Lab dealt with harnessing the power of ants in robot form— specifically, researchers hoped to replicate ants’ ability to work together to haul very heavy objects. In the experiments, robots that jump or walk with a quick, jerky force were quickly determined to be inefficient in groups, while the μTugs won out due to the longer duration of pulling force they were able to create with their tiny winches. If you’ve ever played tug of war than this strategy already makes intrinsic sense. Not only could the μTug smimc ants through teamwork, but they anchored themselves to the ground with an adhesive borrowed from gecko toes.

To prove just how powerful the robots are, scientists took a group of six μTugs—which can pull up to 52 pounds each —and had them move a full-sized car with a passenger inside. Did we mention the passenger was the author of the research paper? When those things start self-replicating, he’s going to be the first one they come after.

Continue reading “Watch 100 Grams of Robot Pull 4,000 Pounds of Car” »

Mar 14, 2016

Humanoid robots can’t outsource their brains to the cloud due to network latency

Posted by in categories: neuroscience, robotics/AI

Ars talks to robotics rockstar Hiroshi Ishiguro, on crafting convincing human-android interactions.

Read more

Mar 13, 2016

Artificial intelligence: Go master Lee Se-dol wins against AlphaGo program

Posted by in categories: computing, entertainment, robotics/AI

A master player of the game Go has won his first match against a Google computer program, after losing three in a row in a best-of-five competition.

Lee Se-dol, one of the world’s top players, said his win against AlphaGo was “invaluable”.

The Chinese board game is considered to be a much more complex challenge for a computer than chess, and AlphaGo’s wins were seen as a landmark moment for artificial intelligence.

Read more

Mar 13, 2016

Our tech future: the rich own the robots while the poor have ‘job mortgages’

Posted by in categories: employment, robotics/AI

Artificial intelligence expert Jerry Kaplan says those whose jobs involve ‘a narrow set of duties’ are most likely to see their work replaced by automation.

Read more

Mar 13, 2016

This Week’s Awesome Stories From Around the Web (Through March 12)

Posted by in categories: internet, robotics/AI

“Deep learning enables the robot to perceive its immediate environment, including the location and movement of its limbs. Reinforcement learning means improving at a task by trial and error. A robot with these two skills could refine its performance based on real-time feedback.”

ARTIFICIAL INTELLIGENCE: Google and Facebook Team Up to Open Source the Gear Behind Their Empires.

Read more

Mar 13, 2016

Google’s AlphaGo Beats World Champion In Third Match To Win Entire Series

Posted by in category: robotics/AI

Go-ing for the sweep.

Read more

Mar 12, 2016

Google’s AI Takes Historic Match Against Go Champ With Third Straight Win

Posted by in category: robotics/AI

This is the first time an artificially intelligent system has topped one of the best at Go. Its victory shows how quickly AI will progress in years to come.

Read more

Mar 12, 2016

Evolution of Video Game Graphics 1952 — 2015

Posted by in categories: computing, entertainment, military, robotics/AI, space

This is all the best games from every year 1952–2015.
Here is the list:

1952: Nimrod Computer Game
1958: Tennis For Two
1971: Computer Space
1972: Pong
1973: Space Race
1974: Clean Sweep
1975: Anti-Ai
1976: Blockade
1977: Indy 500
1978: Sea Wolf 2
1979: Crash
1980: Pac-Man
1981: Ms. Pacman
1982: Paratrooper
1983: Super Gridder
1983: Hunchback
1984: Sokoban
1985: Super Mario Bros
1986: Outrun
1987: Leisure Suit Larry in the Land of the Lounge Lizards.
1988: Super Mario Bros 3
1989: Xenon 2
1990: Prince Of Persia
1991: Prehistorik
1992: Wolfenstein 3D
1993: Day of the Tentacle
1994: The Lion King
1995: Command & Conquer
1996: Tomb Raider
1997: Gta
1998: Half Life
1999: Quake 3
2000: Max Payne
2001: Gta 3
2002: Serious Sam: The First Encounter
2003: Medal Of Honor Allied Assault
2004: Half Life 2
2005: World Of Warcraft
2006: Need For Speed Most Wanted
2007: Crysis
2008: Assassin’s Creed
2009: Call Of Duty Modern Warfare 2
2010: Red Dead Redemption
2011: World Of Tanks
2012: Battlefield 3
2013: Gta 5
2014: Wolfenstein The New Order
2015: Tom Clancy’s The Division

Read more

Mar 11, 2016

Google Translate could become more accurate soon thanks to deep learning

Posted by in categories: information science, mobile phones, robotics/AI

Google has smartened up several of its products with a type of artificial intelligence called deep learning, which involves training neural networks on lots of data and then having them make predictions about new data. Google Maps, Google Photos, and Gmail, for example, have been enhanced with this type of technology. The next service that could see gains is Google Translate.

Well, let me back up. Part of Google Translate actually already uses deep learning. That would be the instant visual translations you can get on a mobile device when you hold up your smartphone camera to the words you want to translate. But if you use Google Translate to just translate text, you know that the service isn’t always 100 percent accurate.

In an interview at the Structure Data conference in San Francisco today, Jeff Dean, a Google senior fellow who worked on some of Google’s core search and advertising technology and is now the head of the Google Brain team that works on deep learning, said that his team has been working with Google’s translation team to scale out experiments with translation based on deep learning. Specifically, the work is based on the technology depicted in a 2014 paper entitled “Sequence to Sequence Learning with Neural Networks.”

Continue reading “Google Translate could become more accurate soon thanks to deep learning” »