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General Motors is working with NASA and medical technologies company Bioservo to develop a battery-assisted robotic glove that can be used in assembly plants.

The technology was initially developed from a partnership between GM and NASA that resulted in RoboGlove, a force-multiplying tool that looks like a large electrified work glove.

The RoboGlove uses sensors and actuators comparable to the nerves, muscles and tendons in a human hand.

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I told folks just the other day; US Manufacturing in the next 3 to 5 years will primarily be robots, 3-/4-D printers, other AI systems, and a couple of line managers to spot check quality of the operation. Just surprised Amazon wasn’t already fully robotic.


Amazon’s progress toward an army of helpful robots is one step closer: a prize for the best warehouse-working “picker” machine has gone to a robot designed by a team from TU Delft Robotics Institute and Delft Robotics, both based in the Netherlands.

The competition was held in conjunction with Germany’s Robocup in Leipzig. Announced on Monday, the winners took home $25,000, while the university of Bonn’s NimbRo won $10,000 for second place and Japanese firm PFN was awarded $5,000 for third.

The contest, in Amazon’s words, “aimed to strengthen the ties between the industrial and academic robotic communities,” and ended with slightly fewer than half of the entrants scoring more than 20 out of 40 possible points, according to a report in TechRepublic. The technology is advancing quickly: all of those contestants would have surpassed the highest scorer in the previous Picking Challenge, held just three years ago.

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An unmanned Israeli vessel has test-fired a torpedo.

The Seagull, from Elbit Systems, demonstrated its weapons capability by launching a torpedo off the Israeli coast near Haifa, according to Israeli news site Ynetnews.

“The test was carried out in the Haifa area, and its primary goal was to determine if it’s possible to arm and launch a relatively large precision missile from an unmanned ship,” Ynetnews said. “The next phases in the development of the system are expected to include launching the torpedo at a target to destroy it.”

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“Numerous commercial satellites — including newly emerging CubeSats — cover large areas with higher revisit rates and deliver high-quality imagery in near real-time to customers,” according to IARPA Program Manager HakJae Kim. “Although the entire Earth has been — and continues to be — imaged multiple times, fully automated data exploitation remains limited.”

The two-phase Multi-View Stereo 3D Mapping Challenge will kick off July 11 with the ultimate goal of creating a 3D mapping system, as well as a community citizen scientists interested in working on future crowdsourcing challenges.

The challenge includes a total of $14,000 in prizes during the initial Explorer phase, though the full challenge has a prize pool of $100,000. Prize allocations for the Master contest have yet to be determined.

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One of the biggest things driverless vehicles is going to do to the average person is to take away the semi driver jobs.

It’s an unfortunate fact and one that will continue to spread to other facets of the workforce, but for now we won’t have to worry, that’s a while off. Either way there’s still the first in what will hopefully be a long line of elegant driverless semi’s, and the two you’re about to see come straight from the geniuses at Audi. The first of these beautiful trucks is the street truck, designed for active use on the road. The second is their show truck, and looks to be much less practical but much cooler to be in!

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In this post I refer to lyrics of certain bands as being “Metal”. I know some people have strong feelings about how genres are defined, and would probably disagree with me about some of the bands I call metal in this post. I call these band “Metal” here for the sake of brevity only, and I apologise in advance.

Introduction

Natural language is ubiquitous. It is all around us, and the rate at which it is produced in written, stored form is only increasing. It is also quite unlike any sort of data I have worked with before.

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Joshua Brown, 40, believed in the power of engineering. He was a former Navy SEAL, a technology consultant, and a Tesla fan. He had posted YouTube videos of himself driving a Tesla Model S on autopilot, taking his hands off the wheel to show how the car could avoid a collision on its own. He had nicknamed his car “Tessy.”

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The driver of a Tesla car died in Florida in May after colliding with a lorry.

Under scrutiny is Tesla’s Autopilot feature, which automatically changes lanes and reacts to traffic.

In a statement, Tesla said it appeared the Model S car was unable to recognise “the white side of the tractor trailer against a brightly lit sky” that had driven across the car’s path.


Tesla is being investigated following a crash in which a man died after colliding with a lorry in Florida.

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How does the human brain collect, process and store the flow of data which it constantly encounters? How does it manage cognitive tasks, which require complex interaction between various areas of the brain and overload high performance computers that work much more quickly? Why can the brain cope with all of this using much less energy? It is the aim of the research team from Kiel led by Professor Hermann Kohlstedt, Head of the Nanoelectronics Department at Kiel University (CAU) and spokesman of the national collaborative research project “Memristive devices for neural systems” (FOR 2093) funded by the German Research Foundation (DFG) to track this impressive efficiency of the human brain using technology and to implement its method of operation in artificial neural networks. The scientists from Kiel have now succeeded in electronically reproducing two fundamental principles of operation of the human brain, memory and synchronisation. They recently published their results in Applied Physics Letters.

The is a master of energy efficiency. It has approximately 100 billion nerve cells, also known as neurons, which manage with power of only about 20 Watt. Modern high performance computers would require many thousands of times more energy to perform similarly complex calculations as the brain manages. The neurons in the brain are linked to each other with synapses and form a highly complex network. The term “learning” in the neurological sense means that the synaptic connections in the brain are not determined statically. Instead they are continually readjusting on the basis of environmental influences, for example sensations. This makes it possible to store new memory content locally, known as the neurological plasticity of the brain.

In addition to the spatial ability of the neural connections to adjust, there is another important building block to process information in the brain: the synchronisation of neural groups. Electrical impulses, so-called action potentials, form the basic unit of information processing in the brain. These impulses permanently transmit information between the neurons and in doing so they cross and influence the synaptic connections in the brain. “In the case of conscious sensory perceptions the spatial irregular occurrence of neural impulses changes into ordered structures suddenly and for a limited time,” says Professor Thorsten Bartsch, a neurologist at Kiel University and member of the research group. The previously independent impulses of the neurons synchronise themselves in this case even over areas of the brain that are not close together. Evidence of this synchronised “firing” in humans can also be shown by measuring brain waves (electroencephalography, EEG).

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