Mar.20 — Fast food giants have placed big bets on technology with the aim of getting a competitive edge, with both well-known and upstart restaurants getting in on the action. Bloomberg’s Kaitlin Meehan has more.
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Category: robotics/AI – Page 2209
This video is audio described for the visually-impaired. The original version can be found here: https://youtu.be/uHbMt6WDhQ8
Waymo—formerly the Google self-driving car project—stands for a new way forward in mobility. In 2015, we invited Steve Mahan, former CEO of the Santa Clara Valley Blind Center, for a special ride. Steve had ridden in our cars in the past—first accompanied by a test driver in 2012 and then on a closed course in 2014. This time was different. Steve experienced the world’s first fully self-driving ride on public roads, navigating through everyday traffic with no steering wheel, no pedals, and no test driver. See highlights of Steve’s ride: https://youtu.be/ArYTxDZzQOM
We’ve been working on self-driving vehicles since 2009, and we are now an independent self-driving technology company with a mission to make it safe and easy for people and things move around. Learn more about Waymo:
Website: https://waymo.com
Want a career in AI and robotics? One of the best ways to enrich your knowledge about the sector is to follow these AI influencers.
The world of artificial intelligence (AI) and robotics has never been more exciting. With questions around the ethics of AI and the ever-developing robotics sector, there are so many options for someone who wants a career in AI.
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Here’s a new 40-minute podcast interview I did with site Lions of Liberty. Lots of transhumanism in it.
In today’s episode of Lions of Liberty, Marc welcomes in the founder of the Transhumanist Party and 2018 Libertarian candidate for the California Governorship, Zoltan Istvan!
In the show, you’ll hear:
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TechCrunch: “You’ll soon be coming home and a robot will greet you at the door.”
VentureBeat: “Read to kids, host video chats, take pictures, recognize faces and objects, connect to smart home devices, and secure the home by roaming around and video taping everything.”
H+ Magazine: “What sets Autonomous’s efforts apart is the sophistication of the software which incoporates deep learning neural networks and what they call — talents.”
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How deepmind’s memory trick helps AI learn faster.
While AI systems can match many human capabilities, they take 10 times longer to learn. Now, by copying the way the brain works, Google DeepMind has built a machine that is closing the gap. “Our experiments show that neural episodic control requires an order of magnitude fewer interactions with the environment,” they say.
Intelligent machines have humans in their sights. Deep-learning machines already have superhuman skills when it comes to tasks such as face recognition, video-game playing, and even the ancient Chinese game of Go. So it’s easy to think that humans are already outgunned.
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Historian Yuval Noah Harari makes a bracing prediction: just as mass industrialization created the working class, the AI revolution will create a new unworking class.
The most important question in 21st-century economics may well be: What should we do with all the superfluous people, once we have highly intelligent non-conscious algorithms that can do almost everything better than humans?
This is not an entirely new question. People have long feared that mechanization might cause mass unemployment. This never happened, because as old professions became obsolete, new professions evolved, and there was always something humans could do better than machines. Yet this is not a law of nature, and nothing guarantees it will continue to be like that in the future. The idea that humans will always have a unique ability beyond the reach of non-conscious algorithms is just wishful thinking. The current scientific answer to this pipe dream can be summarized in three simple principles:
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This means we need new ways to grow food that are smarter and helps regulate our use of land, water and energy in order to feed the planet and avoid a global food crisis.
Researchers at Carnegie Mellon University’s Robotics Institute believe the answer lies in sensors, artificial intelligence (AI) and robots.
In a new initiative called FarmView, researchers are working to combine sensors, robotics and artificial intelligence to create a fleet of mobile field robots they hope will improve plant breeding and crop-management practices.
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