Archive for the ‘robotics/AI’ category: Page 2102
Oct 25, 2016
Will AI replace judges and lawyers?
Posted by Elmar Arunov in categories: computing, information science, law, robotics/AI
An artificial intelligence method developed by University College London computer scientists and associates has predicted the judicial decisions of the European Court of Human Rights (ECtHR) with 79% accuracy, according to a paper published today (Monday, Oct. 24) in PeerJ Computer Science.
The method is the first to predict the outcomes of a major international court by automatically analyzing case text using a machine-learning algorithm.*.
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Oct 25, 2016
Self-Driving Truck’s First Mission: A Beer Run
Posted by Dan Kummer in categories: robotics/AI, transportation
SAN FRANCISCO — The futurists of Silicon Valley may not have seen this one coming: The first commercial delivery made by a self-driving truck was 2,000 cases of Budweiser beer.
On Tuesday, Otto, the Uber-owned self-driving vehicle operation, announced the completion of its first commercial delivery, having delivered its beer load from Fort Collins, Colo., to Colorado Springs, a roughly 120-mile trip on Interstate 25.
In recent years, Uber has predicted a future in which you can ride in a self-driving car that will take you where you want to go, no driver necessary. But the idea that commercial trucking could be done by robot is a relatively new idea — and a potentially controversial one, given the possibility that robots could one day replace human drivers.
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Oct 25, 2016
‘Siri, catch market cheats’: Wall Street watchdogs turn to A.I
Posted by Carse Peel in categories: computing, finance, robotics/AI, surveillance
Wall Street watchdogs turn to AI: System can scan markets and even chat rooms for rogue traders…
Artificial intelligence programs have beaten chess masters and TV quiz show champions. Next up: stock market cheats.
Two exchange operators have announced plans to launch artificial intelligence tools for market surveillance in the coming months and officials at a Wall Street regulator tell Reuters they are not far behind.
Continue reading “‘Siri, catch market cheats’: Wall Street watchdogs turn to A.I” »
Oct 24, 2016
AI-powered security cameras recognize small details faster
Posted by Shane Hinshaw in categories: robotics/AI, security
Oct 24, 2016
China just showcased the world’s most human-like robots
Posted by Elmar Arunov in category: robotics/AI
Oct 23, 2016
Elon Musk’s Mars colony would have a horde of mining robots
Posted by Bryan Gatton in categories: Elon Musk, robotics/AI, space
Oct 23, 2016
‘Every aspect of our lives will be transformed’ — exploring the future of AI
Posted by Shane Hinshaw in categories: computing, law, robotics/AI
A new centre has opened to study the positive and negative implications of AI and ethical quandaries it poses.
“The rise of powerful AI will be either the best, or the worst thing, ever to happen to humanity,” Professor Stephen Hawking said in Cambridge, at the launch of the Centre for the Future of Intelligence (CFI).
Continue reading “‘Every aspect of our lives will be transformed’ — exploring the future of AI” »
Oct 23, 2016
This artificially intelligent camera drone can follow its subjects around
Posted by Bryan Gatton in categories: drones, robotics/AI
Oct 23, 2016
Artificial intelligence will change the ‘course of our species’: Top Goldman tech banker
Posted by Elmar Arunov in categories: computing, finance, information science, internet, robotics/AI
Artificial intelligence is a “momentous development,” said George Lee, co-chairman of the global technology, media and telecom group at Goldman Sachs.
“As awesome as the internet has been, it will be best remembered as really the predicate for machine learning,” said Lee, who’s also chief information officer of Goldman’s investment banking division. He appeared on CNBC’s “Squawk Alley” on Wednesday from Goldman’s Builders + Innovators Summit in Santa Barbara, California.
The internet enabled computing scale in a network and serves as a way to “collect data that’s used to train all these algorithms,” Lee said, predicting machine learning will “change our world … and even the course of our species in ways that are hard to predict today.”
