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Archive for the ‘robotics/AI’ category: Page 2238

Aug 19, 2016

Elon Musk’s OpenAI Project First To Receive Nvidia’s DGX-1 ‘AI Supercomputer In A Box’

Posted by in categories: Elon Musk, robotics/AI, supercomputing

The Elon Musk-backed OpenAI project became Nvidia’s first ever customer to buy a DGX-1 “AI supercomputer in a box.” The system can deliver up to 170 teraflops of performance, which should enable the OpenAI team to significantly improve their AI research.

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Aug 19, 2016

Biohybrid Robots Built From Living Tissue Start To Take Shape

Posted by in categories: engineering, robotics/AI

Think of a traditional robot and you probably imagine something made from metal and plastic. Such “nuts-and-bolts” robots are made of hard materials. As robots take on more roles beyond the lab, such rigid systems can present safety risks to the people they interact with. For example, if an industrial robot swings into a person, there is the risk of bruises or bone damage.

Researchers are increasingly looking for solutions to make robots softer or more compliant – less like rigid machines, more like animals. With traditional actuators – such as motors – this can mean using air muscles or adding springs in parallel with motors. For example, on a Whegs robot, having a spring between a motor and the wheel leg (Wheg) means that if the robot runs into something (like a person), the spring absorbs some of the energy so the person isn’t hurt. The bumper on a Roomba vacuuming robot is another example; it’s spring-loaded so the Roomba doesn’t damage the things it bumps into.

But there’s a growing area of research that’s taking a different approach. By combining robotics with tissue engineering, we’re starting to build robots powered by living muscle tissue or cells. These devices can be stimulated electrically or with light to make the cells contract to bend their skeletons, causing the robot to swim or crawl. The resulting biobots can move around and are soft like animals. They’re safer around people and typically less harmful to the environment they work in than a traditional robot might be. And since, like animals, they need nutrients to power their muscles, not batteries, biohybrid robots tend to be lighter too.

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Aug 19, 2016

How Your Next Car Could Help Make Itself Obsolete — By Tom Simonite | MIT Technology Review

Posted by in categories: automation, mapping, robotics/AI, transportation

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“Driving cars on the road might be the best way to create maps for tomorrow’s autonomous ones.”

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Aug 19, 2016

NEXT Future Transportation System

Posted by in categories: robotics/AI, transportation

Meet the future of public transportation: self-driving modules.

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Aug 19, 2016

Driverless Cars Joining Uber Fleet

Posted by in categories: robotics/AI, transportation

Uber is revving up to add driverless cars to its fleet this month.

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Aug 19, 2016

Airbus reveals ambitious plan for autonomous flying taxis

Posted by in categories: drones, robotics/AI

If a self-flying taxi scheme didn’t come from the world’s second largest aeronautical company, we might think it was a prank. However, Airbus appears to be serious about its “Vahana” project, aimed at creating an autonomous passenger drone network, and thinks testing can begin as early as 2017. That sounds ambitious, to say the least, but “many of the technologies needed, such as batteries, motors and avionics are most the way there,” according to Airbus engineer Rodin Lyasoff.

Users arriving at, say, an airport would book a seat on a so-called zenHop “CityAirbus” drone, then proceed to a “zenHub” helipad, according to the concept. They’d be flown to their destination for about the same cost as a taxi, since the ride would be shared by several passengers. Luggage would be delivered by another service (zenLuggage, of course), and the whole thing would be safeguarded from hackers by (wait for it) zenCyber.

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Aug 18, 2016

Artificial intelligence can find, map poverty, researchers say

Posted by in categories: robotics/AI, sustainability

The method would assist governments and charities trying to fight poverty but lacking precise and reliable information on where poor people are living and what they need, the researchers based at Stanford University in California said.

Eradicating extreme poverty, measured as people living on less than $1.25 U.S. a day, by 2030 is among the sustainable development goals adopted by United Nations member states last year.

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Aug 18, 2016

Will Uber’s Fleet of Self-Driving Cars Save Lives?

Posted by in categories: biotech/medical, health, robotics/AI, transportation

Researchers estimate that driverless cars could, by midcentury, reduce traffic fatalities by up to 90 percent. Which means that, using the number of fatalities in 2013 as a baseline, self-driving cars could save 29,447 lives a year. In the United States alone, that’s nearly 300,000 fatalities prevented over the course of a decade, and 1.5 million lives saved in a half-century. For context: Anti-smoking efforts saved 8 million lives in the United States over a 50-year period.

The life-saving estimates for driverless cars are on par with the efficacy of modern vaccines, which save 42,000 lives for each U.S. birth cohort, according to the Centers for Disease Control.

Globally, there are about 1.2 million traffic fatalities annually, according to the World Health Organization. Which means driverless cars are poised to save 10 million lives per decade—and 50 million lives around the world in half a century.

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Aug 18, 2016

Scientists Are Growing Living Biobots That Move Like Animals

Posted by in category: robotics/AI

This article originally appeared in the Conversation.

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Aug 18, 2016

Neuromorphic computing mimics important brain feature

Posted by in categories: computing, information science, robotics/AI

(Phys.org)—When you hear a sound, only some of the neurons in the auditory cortex of your brain are activated. This is because every auditory neuron is tuned to a certain range of sound, so that each neuron is more sensitive to particular types and levels of sound than others. In a new study, researchers have designed a neuromorphic (“brain-inspired”) computing system that mimics this neural selectivity by using artificial level-tuned neurons that preferentially respond to specific types of stimuli.

In the future, level-tuned neurons may help enable systems to perform tasks that traditional computers cannot, such as learning from their environment, pattern recognition, and knowledge extraction from big data sources.

The researchers, Angeliki Pantazi et al., at IBM Research-Zurich and École Polytechnique Fédérale de Lausanne, both in Switzerland, have published a paper on the new neuromorphic architecture in a recent issue of Nanotechnology.

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