Lifeboat Foundation

Robots are now riding high-speed motorbikes.

Should the Stig be scared?

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“AI is achievable, but it will take more than computer science and neuroscience to develop machines that think like people”

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On October 26, the Center for Technology Innovation at Brookings hosted a forum to explore the impact of robots, artificial intelligence, and machine learning on the workforce and the provision of benefits traditionally supplied by—or in conjunction with—employers.

http://www.brookings.edu/events/2015/10/26-robotics-employme…efits-west

Continue reading “How robotics will affect the availability of employment and social benefits” »

Nissan says its autonomous car will be ready for sale to consumers by 2020.

Nissan Motor Co. is aggressively pushing forward with plans for a mostly autonomous car that will be ready for sale to consumers by 2020, putting it well ahead of its global competitors.

Chief Executive Carlos Ghosn said the technology would be ready by the Japanese auto maker’s self-imposed deadline—though he wasn’t sure if it would be legal on any nation’s roads.

Continue reading “Nissan Speeds Ahead of Rivals With Plans for Driverless Car” »

News to streamline the work measurements. smile

Free for iOS and Android here: http://goo.gl/mnNbZh

Follow the engineering is:

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Who needs a peep hole when a wifi network will do? Researchers from MIT have developed technology that uses wireless signals to see your silhouette through a wall—and it can even tell you apart from other people, too.

The team from MIT’s Computer Science and Artificial Intelligence Lab are no strangers to using wireless signals to see what’s happening on the other side of a wall. In 2013, they showed off software that could use variations in wifi signal to detect the presence of human motion from the other side of a wall. But in the last two years they’ve been busy developing the technique, and now they’ve unveiled the obvious — if slightly alarming — natural progression: they can use the wireless reflections bouncing off a human body to see the silhouette of a person standing behind a wall.

Not only that, the team’s technique, known is RF-Capture, is accurate enough to track the hand of a human and, with some repeated measurements, the system can even be trained to recognise different people based just on their wifi silhouette. The research, which is to be presented at SIGGRAPH Asia next month, was published this morning on the research group’s website.

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https://www.youtube.com/watch?v=h-TLo86K7Ck

At the Tokyo Motor Show 2015, Nissan unveiled a concept vehicle that embodies Nissan’s vision of the future of autonomous driving and zero emission EVs: the Nissan IDS Concept.

Presenting at the show, Nissan president and CEO Carlos Ghosn said: “Nissan’s forthcoming technologies will revolutionize the relationship between car and driver, and future mobility.”

Continue reading “Introducing the Nissan IDS Concept” »

The aim of the exercise is to develop rider-support systems similar to those we are seeing developed in automobiles to make driving safer. “We want to apply the fundamental technology and know-how gained in the process of this challenge to the creation of advanced rider safety and rider-support systems and put them to use in our current businesses, as well as using them to pioneer new lines of business,” says Yamaha’s release.

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Photographs taken by astronaut Scott Kelly from the International Space Station are beautiful – but could a robot do better?

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