SMP Robotics S5 PTZ Security Robot Wins Awards for Tech Tank and Featured New Product Contests at ISC East Security Conference
Mouser Electronics and Grant Imahara Release New Video Showing Drone Platform for Project First Responders
Going Where No Man Has Gone Before: What Does the Future Hold for Automation in the Service Industry?
Bruce Brown for DigitalTrends: It sounds like we can all take a breath and forget about robot attacks occurring — at least anytime soon. Robots turning against their makers is a common theme in science fiction. However, there’s “no cause for concern that AI poses an imminent threat to humanity,” according to Fast Company, citing the first report from the One Hundred Year Study on Artificial Intelligence (AI100).
The Stanford University-hosted project represents a standing committee of AI scientists. The AI100 project is ongoing but will not issue reports annually — the next one will be published “in a few years.” The first report, Artificial Intelligence and Life in 2030, downloadable at this link, looks at how advances in AI will make a difference in the U.S. between now and 2030. Areas of change explored by the report include transportation, healthcare, education, the workplace, and policing and public safety. Cont'd...
David Clensy for Bristol Post: For Silas Adekunle, the fascination has always been about how the very best robotics learns from biology.
There is a twinkle in the eye of the 25-year-old Reach Robotics founder, as he introduces me to Mekamon – the spider-like robot with which he plans to transform the future of augmented reality gaming among techies around the world.
Silas only graduated from the University of the West of England in 2014, but is already employing 10 people in his rapidly growing tech company. Cont'd...
Rising Media Announces 3D Printing, VR/AR, and Robotics Startups Selected to Compete in the Frontier Tech Showdown December 14 in San Diego, California
Leading automotive perception technology conference, AutoSens, doubles up in 2017 due to widespread demand
From AZoRobotics: As a result of a new machine learning algorithm formulated by engineering researchers Parham Aarabi (ECE) and Wenzhi Guo (ECE MASc 1T5) at University of Toronto, smartphones may soon be able to provide users with honest answers.
The researchers prepared an algorithm that was capable of learning directly from human instructions, instead of an existing set of examples, and surpassed conventional techniques of training neural networks by 160%.
But more astonishingly, their algorithm also surpassed its own training by 9% - it learned to identify hair in pictures with better reliability than that enabled by the training, signifying a major leap forward for artificial intelligence. Cont'd...
Mouser Electronics and Grant Imahara Partner with Easy Aerial to Develop a Unique Search and Rescue Drone Platform
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