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Category: robotics/AI – Page 1553

The tool next examines how one protein’s amino acids interact with another within the same protein, for example, by examining the distance between two distant building blocks. It’s like looking at your hands and feet fully stretched out, versus in a backbend measuring the distance between those extremities as you “fold” into a yoga pose.

Finally, the third track looks at 3D coordinates of each atom that makes up a protein building block—kind of like mapping the studs on a Lego block—to compile the final 3D structure. The network then bounces back and forth between these tracks, so that one output can update another track.

The end results came close to those of DeepMind’s tool, AlphaFold2, which matched the gold standard of structures obtained from experiments. Although RoseTTAFold wasn’t as accurate as AlphaFold2, it seemingly required much less time and energy. For a simple protein, the algorithm was able to solve the structure using a gaming computer in about 10 minutes.

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New research out of the University of California, San Francisco has given a paralyzed man the ability to communicate by translating his brain signals into computer generated writing. The study, published in The New England Journal of Medicine, marks a significant milestone toward restoring communication for people who have lost the ability to speak.

“To our knowledge, this is the first successful demonstration of direct decoding of full words from the brain activity of someone who is paralyzed and cannot speak,” senior author and the Joan and Sanford Weill Chair of Neurological Surgery at UCSF, Edward Chang said in a press release. “It shows strong promise to restore communication by tapping into the brain’s natural speech machinery.”

Some with speech limitations use assistive devices–such as touchscreens, keyboards, or speech-generating computers to communicate. However, every year thousands lose their speech ability from paralysis or brain damage, leaving them unable to use assistive technologies.

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A team of researchers from the University of Maryland has 3D printed a soft robotic hand that is agile enough to play Nintendo’s Super Mario Bros. — and win!

The feat, highlighted on the front cover of the latest issue of Science Advances, demonstrates a promising innovation in the field of soft robotics, which centers on creating new types of flexible, that are powered using water or air rather than electricity. The inherent safety and adaptability of soft robots has sparked interest in their use for applications like prosthetics and biomedical devices. Unfortunately, controlling the fluids that make these soft robots bend and move has been especially difficult—until now.

The key breakthrough by the team, led by University of Maryland assistant professor of mechanical engineering Ryan D. Sochol, was the ability to 3D print fully assembled soft robots with integrated fluidic circuits in a single step.

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Nick Saraev is 25 years old, far too young, it would seem, to be thinking about death. And yet, since he turned 21, he has taken steps to prevent the infirmities of old age. Every day, he takes 2000 mg of fish oil and 4000 IU of vitamin D to help prevent heart disease and other ailments. He steams or pressure-cooks most of his meals because, he says, charring meats creates chemicals that may increase the risk of cancer. And in the winter, he keeps the humidity of his home at 35 percent, because dry air chaps his skin and makes him cough, both of which he considers manifestations of chronic inflammation, which may be bad for longevity.

Based on the life expectancies of young men in North America, Saraev, a freelance software engineer based near Vancouver, believes he has about 55 years before he really has to think about aging. Given the exponential advances in microprocessors and smartphones in his lifetime, he insists the biotech industry will figure out a solution by then. For this reason, Saraev, like any number of young, optimistic, tech-associated men, believes that if he takes the correct preventative steps now, he might well live forever. Saraev’s plan is to keep his body in good enough shape to hit “Longevity Escape Velocity,” a term coined by English gerontologist Aubrey de Grey to denote slowing down your aging enough to reach each new medical advance as it arrives. If you delay your death by 10 years, for example, that’s 10 more years scientists have to come up with a drug, computer program, or robot assist that can make you live even longer. Keep up this game of reverse leapfrog, and eventually death can’t catch you. The term is reminiscent of “planetary escape velocity,” the speed an object needs to move in order to break free of gravity.

The science required to break free of death, unfortunately, is still at ground level. According to Nir Barzilai, M.D., director of the Institute for Aging Research at Albert Einstein College of Medicine in New York City, scientists currently understand aging as a function of seven to nine biological hallmarks, factors that change as we grow older and seem to have an anti-aging effect when reversed. You can imagine these as knobs you can turn up or down to increase or decrease the likelihood of illness and frailty. Some of these you may have heard of, including how well cells remove waste, called proteostasis; how well cells create energy, or mitochondrial function; how well cells implement their genetic instructions, or epigenetics; and how well cells maintain their DNA’s integrity, called DNA repair or telomere erosion.

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Unlike DeepMind, the UW Medicine team’s method, which they dubbed RoseTTAFold, is freely available. Scientists from around the world are now using it to build protein models to accelerate their own research. Since July, the program has been downloaded from GitHub by over 140 independent research teams.

Accurate protein structure prediction now accessible to all.

Scientists have waited months for access to highly accurate protein structure prediction since DeepMind presented remarkable progress in this area at the 2020 Critical Assessment of Structure Prediction, or CASP14, conference. The wait is now over.

Researchers at the Institute for Protein Design at the University of Washington School of Medicine in Seattle have largely recreated the performance achieved by DeepMind on this important task. These results were published online by the journal Science on July 15, 2021.

Continue reading “Advanced New Artificial Intelligence Software Can Compute Protein Structures in 10 Minutes” | >

The chip world’s most important machines are made near corn fields in the Netherlands. The U.S. is trying to block China from buying them.

The one-of-a-kind, 180-ton machines are used by companies including Intel Corp., South Korea’s Samsung Electronics Co. and leading Apple Inc. supplier Taiwan Semiconductor Manufacturing Co. to make the chips in everything from cutting-edge smartphones and 5G cellular equipment to computers used for artificial intelligence.

China wants the $150-million machines for domestic chip makers, so smartphone giant Huawei Technologies Co. and other Chinese tech companies can be less reliant on foreign suppliers. But ASML hasn’t sent a single one because the Netherlands—under pressure from the U.S.—is withholding an export license to China.

The Biden administration has asked the government to restrict sales because of national-security concerns, according to U.S. officials. The stance is a holdover from the Trump White House, which first identified the strategic value of the machine and reached out to Dutch officials.

Continue reading “China Wants a Chip Machine From the Dutch. The U.S. Said No” | >

Machine learning and artificial intelligence (ML/AI) are rapidly becoming an indispensable part of physics research, with domain applications ranging from theory and materials prediction to high-throughput data analysis. In parallel, the recent successes in applying ML/AI methods for autonomous systems from robotics to self-driving cars to organic and inorganic synthesis are generating enthusiasm for the potential of these techniques to enable automated and autonomous experiments (AE) in imaging. Here, we aim to analyze the major pathways toward AE in imaging methods with sequential image formation mechanisms, focusing on scanning probe microscopy (SPM) and (scanning) transmission electron microscopy ((S)TEM).

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A New Yorker review of “Roadrunner,” a documentary about the deceased celebrity chef Anthony Bourdain by the Oscar-winning filmmaker Morgan Neville, reveals that a peculiar method was used to create a voice over of an email written by Bourdain. In addition to using clips of Bourdain’s voice from various media appearances, the filmmaker says he had an “A.I. model” of Bourdain’s voice created in order to complete the effect of Bourdain ‘reading’ from his own email in the film. “If you watch the film, other than that line you mentioned, you probably don’t know what the other lines are that were spoken by the A.I., and you’re not going to know,” Neville told the reviewer, Helen Rosner. “We can have a documentary-ethics panel about it later.”

On Twitter, some media observers decided to start the panel right away.

“This is unsettling,” tweeted Mark Berman, a reporter at the Washington Post, while ProPublica reporter and media manipulation expert Craig Silverman tweeted “this is not okay, especially if you don’t disclose to viewers when the AI is talking.” Indeed, “The ‘ethics panel’ is supposed to happen BEFORE they release the project,” tweeted David Friend, Entertainment reporter at The Canadian Press.

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