Interesting approach.
A group of scientists has created a neural network based on polymeric memristors — devices that can potentially be used to build fundamentally new computers. These developments will primarily help in creating technologies for machine vision, hearing, and other machine sensory systems, and also for intelligent control systems in various fields of applications, including autonomous robots.
Google’s machine learning group is licensing new chip technology to make the devices in our pockets more intelligent and autonomous.
Posted in robotics/AI
Dinner and a show with a Robot.
The most memorable moments in travel are often the most eccentric. From oil wrestling to staring contests, or being entertained over dinner by robots, our readers share their way-out memories.
Scientists hope to create a computer that can interpret, analyze, and process information with the same efficiency as a human.
Truly sad; and will indeed happen. Lower skill jobs have been replaced in the past and will continue to happen on a broader scale with AI. This has been the warning from Gates, Musk, and Hawkings.
Automation and the march of the robots will prove most disruptive to the world’s poorest nations, with 85 per cent of all jobs in Ethiopia in danger of being lost, according to new analysis. Nepal, Cambodia, China, Bangladesh and Guatemala are among.
We have Disney & Universal; and China has Transformers.
Hasbro’s iconic “Transformers” are poised to become a major live entertainment attraction in China from next year.
A custom-built theater seating 4,500 will host a live show combining shape-shifting robots, aerial stunts and large-scale special effects.
The attraction is the first to be developed by DMG Live, the new live entertainment arm of DMG Entertainment, which is headed by entrepreneur Dan Mintz. It follows a deal between DMG and Hasbro for the rights and with Michael Cohl’s S2BN Entertainment to develop the attraction.
The things we need to know for the 2016 robotic experience — robot clusters, manufacturing & logistics, food & healthcare, A3 Mexico Coming Soon and robotics integration.
Bold predictions for Collaboration, Connectivity and Convergence rang in 2015. One industry insider even called them prescient. Looking back a year later, we see the five-year forecast materializing faster than expected.
Industrial Internet of Things (IIOT) is more than a buzzword. With drones taking to the skies and autonomous robots navigating our warehouses, local eateries, hotels, hospitals, and stores, and soon our roadways – the differences between industrial, collaborative, and service robots continue to blur. No longer are robots reserved for multinational conglomerates or the rich eccentric with a sweet tooth for high-tech toys. SMEs and your average homeowner can now join the party. Sensors, software, and hardware are getting smarter and cheaper. We’re democratizing robotics for the masses.
It’s taken longer than some had hoped. But we’re approaching the tipping point for many automation technologies. We’re envisioning a world where robots will help the elderly and infirm with everyday tasks, so they can live independently longer. We’re moving closer to Asimov’s robots and to the “mobile, sensate robot” Engelberger anticipated. It’s the paradigm shift foretold by visionaries past and present.
Last week, Ben Goertzel and his company turned on a hedge fund that makes all its stock trades using AI—no human intervention required.
Luv the whole beautiful picture of a Big Data Quantum Computing Cloud. And, we’re definitely going to need it for all of our data demands and performance demands when you layer in the future of AI (including robotics), wearables, our ongoing convergence to singularity with nanobots and other BMI technologies. Why we could easily exceed $4.6 bil by 2021.
From gene mapping to space exploration, humanity continues to generate ever-larger sets of data—far more information than people can actually process, manage, or understand.
Machine learning systems can help researchers deal with this ever-growing flood of information. Some of the most powerful of these analytical tools are based on a strange branch of geometry called topology, which deals with properties that stay the same even when something is bent and stretched every which way.
Such topological systems are especially useful for analyzing the connections in complex networks, such as the internal wiring of the brain, the U.S. power grid, or the global interconnections of the Internet. But even with the most powerful modern supercomputers, such problems remain daunting and impractical to solve. Now, a new approach that would use quantum computers to streamline these problems has been developed by researchers at MIT, the University of Waterloo, and the University of Southern California…
