Lifeboat Foundation

A team of researchers at UC Berkeley has found a way to get a robot to mimic an activity it sees on a video screen just a single time. In a paper they have uploaded to the arXiv preprint server, the team describes the approach they used and how it works.

Robots that learn to do things simply by watching a human carry out an action a single time would be capable of learning many more new actions much more quickly than is now possible. Scientists have been working hard to figure out how to make it happen.

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The 90-pound mechanical beast — about the size of a full-grown Labrador — is intentionally designed to do all this without relying on cameras or any external environmental sensors. Instead, it nimbly “feels” its way through its surroundings in a way that engineers describe as “blind locomotion,” much like making one’s way across a pitch-black room.

“There are many unexpected behaviors the robot should be able to handle without relying too much on vision,” says the robot’s designer, Sangbae Kim, associate professor of mechanical engineering at MIT. “Vision can be noisy, slightly inaccurate, and sometimes not available, and if you rely too much on vision, your robot has to be very accurate in position and eventually will be slow. So we want the robot to rely more on tactile information. That way, it can handle unexpected obstacles while moving fast.”

Researchers will present the robot’s vision-free capabilities in October at the International Conference on Intelligent Robots, in Madrid. In addition to blind locomotion, the team will demonstrate the robot’s improved hardware, including an expanded range of motion compared to its predecessor Cheetah 2, that allows the robot to stretch backwards and forwards, and twist from side to side, much like a cat limbering up to pounce.

Marvin Minsky was one of the founding fathers of artificial intelligence and co-founder of the Massachusetts Institute of Technology’s AI laboratory.

Abstract for scientists

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Bottom of the barrel white collar jobs will all probably be automated by 2025.

When Google introduced Google Duplex, its AI assistant designed to speak like a human, the company showed off how the average person could use the tech to save time making reservations and whatnot. What wasn’t touched on was the possibility that Duplex may have a use on the other side of the line, taking over for call center employees and telemarketers.

A report from The Information suggests Google may be making a play to find other applications for its human-sounding assistant and has already started experimenting with ways to use Duplex to do with away roles currently filled by humans—a move that could have ramifications for millions of people.

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German automaker Daimler is the 1st foreign company licensed to test its autonomous vehicles in Beijing.

July 6 (UPI) — German automaker Daimler is the first foreign company licensed to test its autonomous vehicles in Beijing, the company announced on Friday.

With the certification, the maker of Mercedes-Benz vehicles can begin road tests of self-driving cars in Beijing, “a metropolis with unique and complex urban traffic situations,” a company statement said.

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Seismic is combining clothing and robotics into what they call Powered Clothing™. They aim to get exosuits into stores by the end of 2018 in the US, Japan and the UK.

A team of Japanese researchers from Waseda University, Osaka University, and Shizuoka University designed and successfully developed a high-power, silicon-nanowire thermoelectric generator which, at a thermal difference of only 5 degrees C, could drive various IoT devices autonomously in the near future.

Objects in our daily lives, such as speakers, refrigerators, and even cars, are becoming “smarter” day by day as they connect to the internet and exchange data, creating the Internet of Things (IoT), a network among the objects themselves. Toward an IoT-based society, a miniaturized thermoelectric generator is anticipated to charge these objects, especially for those that are portable and wearable.

Due to advantages such as its relatively low thermal conductance but high electric conductance, silicon nanowires have emerged as a promising thermoelectric material. Silicon-based thermoelectric generators conventionally employed long, silicon nanowires of about 10–100 nanometers, which were suspended on a cavity to cutoff the bypass of the heat current and secure the temperature difference across the silicon nanowires. However, the cavity structure weakened the mechanical strength of the devices and increased the fabrication cost.

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While facial recognition performs well in controlled environments (like photos taken at borders), they struggle to identify faces in the wild. According to data released under the UK’s Freedom of Information laws, the Metropolitan’s AFR system has a 98 percent false positive rate — meaning that 98 percent of the “matches” it makes are of innocent people.

The head of London’s Metropolitan Police force has defended the organization’s ongoing trials of automated facial recognition systems, despite legal challenges and criticisms that the technology is “almost entirely inaccurate.”

According to a report from The Register, UK Metropolitan Police commissioner Cressida Dick said on Wednesday that she did not expect the technology to lead to “lots of arrests,” but argued that the public “expect[s]” law enforcement to test such cutting-edge systems.

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Researchers at UC Berkeley have figured out a way to train robots by imitating humans, by showing them and not telling them what to do. This is a stride in being able to easily communicate with machines to hopefully usher in an age of robotic butlers and home assistants to serve humans’ needs.