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Category: robotics/AI – Page 2,776

Meet Tally, a robot that endlessly roams around and scans retail store aisles

It might not be too long before a trip to the grocery store involves dodging Tally, a new robot designed to tootle from aisle to aisle while taking note of stock levels.

Tally’s Silicon Valley creators, Simbe Robotics, point out that most retailers currently rely on IT systems and manual labor to manage inventory, but call this method “costly and inaccurate.” Tally can apparently do full-store audits in a fraction of the usual time, keeping staff up to date on what items are running low so that shelves can be quickly refilled.

Simbie says Tally’s ability to carry out such “repetitive and laborious” auditing tasks means human staff can get on with serving customers directly.

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‘Electric Sails’ Could Propel Superfast Spacecraft

SANTA CLARA, California — Robotic spacecraft may ride the solar wind toward interstellar space at unprecedented speeds a decade or so from now.

Researchers are developing an “electric sail” (e-sail) propulsion system that would harness the solar wind, the stream of protons, electrons and other charged particles that flows outward from the sun at more than 1 million mph (1.6 million kilometers per hour).

“It looks really, really promising for ultra-deep-space exploration,” Les Johnson, of NASA’s Marshall Space Flight Center in Huntsville, Alabama, said of the e-sail concept here at the 100-Year Starship Symposium on Oct. 30. [Superfast Spacecraft Propulsion Concepts (Images)].

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TensorFlow — Google’s latest machine learning system, open sourced for everyone

Posted by Jeff Dean, Senior Google Fellow, and Rajat Monga, Technical Lead.

Deep Learning has had a huge impact on computer science, making it possible to explore new frontiers of research and to develop amazingly useful products that millions of people use every day. Our internal deep learning infrastructure DistBelief, developed in 2011, has allowed Googlers to build ever larger neural networks and scale training to thousands of cores in our datacenters. We’ve used it to demonstrate that concepts like “cat” can be learned from unlabeled YouTube images, to improve speech recognition in the Google app by 25%, and to build image search in Google Photos. DistBelief also trained the Inception model that won Imagenet’s Large Scale Visual Recognition Challenge in 2014, and drove our experiments in automated image captioning as well as DeepDream.

While DistBelief was very successful, it had some limitations. It was narrowly targeted to neural networks, it was difficult to configure, and it was tightly coupled to Google’s internal infrastructure — making it nearly impossible to share research code externally.

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The Imminent, the Possible, and the Irreversible: The Disruptive Potential of Artificial Intelligence

Major technological changes have a transformative effect on every aspect of human life. Increasingly intelligent programs are responsible to paradigm shifts at a steadily accelerating rate, a trend which acceleration theories suggest is all but guaranteed to continue.

We explore some of the most disruptive applications of artificial intelligence, examining in particular the impact of computer trading programs (algotraders) on stock markets. We explore some such imminent technologies (such as autonomous military robots) and their consequences (eg on job markets). We conclude with a discussion in the potentially irreversible consequences of this trend, including that of superintelligence.

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