AI will make better decisions by embracing uncertainty.
Category: robotics/AI – Page 2,472
Supercomputer on a fingernail, artificial synapse ushers in new AI revolution
WHY THIS MATTERS IN BRIEF
There is nothing on Earth like the human brain, even today’s AI doesn’t come close, but now researchers have created an Artificial Synapse that’s 200 million times faster than a human synapse, and one day it will revolutionise AI and computing.
“Smarticle” Robot Swarms Turn Random Behavior into Collective Intelligence
New algorithms show how very simple robots can be made to work together as a group.
- By Ben Rollins, Quanta Magazine on February 18, 2018
Computers learn to learn
Intel and Researchers from Heidelberg and Dresden present three new neuromorphic chips.
Researchers from Heidelberg University and TU Dresden, together with Intel Corporation, will reveal three new neuromorphic chips during the NICE Workshop 2018 in the USA. These chips have an extraordinary ability: They are able to mimic important aspects of biological brains by being energy efficient, resilient and able to learn. These chips promise to have a major impact on the future of artificial intelligence. Computers are many times faster than humans in solving arithmetical problems, yet they have thus far been no match when it comes to the analytic ability of the brain. Up until now, computers have not been able to continually learn and can therefore not improve themselves. The two European chips were developed in close collaboration with neuroscientists as part of the Human Brain Project of the European Union. NICE 2018 will be held from 27 February until 1 March on the Intel Campus in Hillsboro/Oregon.
Dr Johannes Schlemmel from the Kirchhoff Institute for Physics at Heidelberg University will present prototypes of the new BrainScaleS chip. BrainScaleS has a mixed analogue and digital design and works 1,000 to 10,000 times faster than real time. The second generation neuromorphic BrainScaleS chip has freely programmable on-chip learning functions as well as an analogue hardware model of complex neurons with active dendritic trees, which – based on nerve cells – are especially valuable for reproducing the continual process of learning.
Human beings could achieve immortality by 2050
Dr Ian Pearson, a leading futurologist from Ipswich, claims that if people can survive until 2050 they could live forever thanks to advances in AI, android bodies and genetic engineering.
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For artificial intelligence to thrive, it must explain itself | The Economist
“Of the ten most valuable quoted companies in the world, seven say they have plans to put deep-learning-based AI at the heart of their operations.”
New Report Explores The Forces Affecting The Future Of Work — By Adi Gaskell | Forbes
“The last few years have seen a wide range of reports from governments, think tanks, consultancies and academics exploring how the future of work might look. Many of these have revolved around the impact technology, and especially AI, might have on how (and indeed whether) we work.
The latest effort, from Bain’s Macro Trends Group, takes a slightly broader view and examines not just the technological landscape but also demographic and economic forces.”
US Army Now Holding Drills With Ground Robots That Shoot
Last year saw a historic first: an exercise in which an unmanned vehicle provided live covering fire for American troops.
In a historic first, the Army conducted a live fire exercise with a remote-controlled ground combat vehicle armed with a .50-caliber machine gun. It plans to conduct more exercises with more heavily armed ground robots within the next couple of years.
The demonstration was part of the annual Northern Strike exercise, which took place last July and August at Michigan’s Camp Grayling. Primarily geared toward reserve units, this year’s event debuted an unmanned, heavily armed M113 armored personnel carrier. The driver and the weapons operator followed behind in a slightly larger M577 command post vehicle.