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Continue reading “How many robots does it take to run a grocery store?” »
Such changes, multiplied across thousands of businesses in dozens of industries, could significantly change workers’ prospects. Professor Warman, the Canadian economist, said technologies developed for one purpose tend to spread to similar tasks, which could make it hard for workers harmed by automation to shift to another occupation or industry.
The need for social distancing led restaurants and grocery stores to seek technological help. That may improve productivity, but could also cost jobs.
The researchers also showed that they could restore normal cognitive function in mice with these genetic mutations by artificially turning down hyperactivity in neurons of the AD thalamus. The approach they used, chemogenetics, is not yet approved for use in humans. However, it may be possible to target this circuit in other ways, the researchers say.
Summary: Certain genes that are mutated or missing in those with schizophrenia and autism cause similar dysfunction in neural networks within the thalamus.
Source: MIT
Tee said AiFoam is the first of its kind to combine both self-healing properties and proximity and pressure sensing. After spending over two years developing it, he and his team hope the material can be put to practical use within five years.
SINGAPORE, July 6 (Reuters) — Singapore researchers have developed a smart foam material that allows robots to sense nearby objects, and repairs itself when damaged, just like human skin.
Artificially innervated foam, or AiFoam, is a highly elastic polymer created by mixing fluoropolymer with a compound that lowers surface tension.
Continue reading “Smart foam material gives robotic hand the ability to self-repair” »
Nano-Magnetics For Wireless Brain-Computer Interfaces & Precision Medicine — Dr. Sakhrat Khizroev, Ph.D., University of Miami.
Dr. Sakhrat Khizroev is a Professor of Electrical and Computer Engineering at the College of Engineering of the University of Miami, with a secondary appointment at the Department of Biochemistry and Molecular Biology at the Miller School of Medicine.
Concept I introduced long ago in TMP2 as the Inchworm orbital service robot is now being demonstrated by the ESA with the new Russian addition to the ISS.
It is much like a human arm. It has an elbow, shoulders and even wrists. The European Robotic Arm (ERA) is the first robot able to ‘walk’ around the Russian segment of the International Space Station.
Light yet powerful, the orbital arm has the ability to anchor itself to the Station and move back and forward by itself, hand-over-hand between fixed base-points. This space robot looks like a pair of compasses and has a length of over 11 m. When stretched, it could pass a football from a penalty spot to the goalkeeper.
A revolutionary new class of amphibious vehicle will transform the search for lost vessels on the ocean floor, says marine archaeologist Dr Robert Ballard.
Researchers have demonstrated how to keep a network of nanowires in a state that’s right on what’s known as the edge of chaos – an achievement that could be used to produce artificial intelligence (AI) that acts much like the human brain does.
The team used varying levels of electricity on a nanowire simulation, finding a balance when the electric signal was too low when the signal was too high. If the signal was too low, the network’s outputs weren’t complex enough to be useful; if the signal was too high, the outputs were a mess and also useless.
“We found that if you push the signal too slowly the network just does the same thing over and over without learning and developing. If we pushed it too hard and fast, the network becomes erratic and unpredictable,” says physicist Joel Hochstetter from the University of Sydney and the study’s lead author.
“What’s so exciting about this result is that it suggests that these types of nanowire networks can be tuned into regimes with diverse, brain-like collective dynamics, which can be leveraged to optimize information processing,” said Zdenka Kuncic from the University of Sydney in a press release.
Today’s deep neural networks already mimic one aspect of the brain: its highly interconnected network of neurons. But artificial neurons behave very differently than biological ones, as they only carry out computations. In the brain, neurons are also able to remember their previous activity, which then influences their future behavior.
This in-built memory is a crucial aspect of how the brain processes information, and a major strand in neuromorphic engineering focuses on trying to recreate this functionality. This has resulted in a wide range of designs for so-called “memristors”: electrical components whose response depends on the previous signals they have been exposed to.
