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Tapping the power of AI and high-performance computing to extend evolution to superconductors

Owners of thoroughbred stallions carefully breed prizewinning horses over generations to eke out fractions of a second in million-dollar races. Materials scientists have taken a page from that playbook, turning to the power of evolution and artificial selection to develop superconductors that can transmit electric current as efficiently as possible.

Perhaps counterintuitively, most applied can operate at high magnetic fields because they contain defects. The number, size, shape and position of the defects within a superconductor work together to enhance the carrying capacity in the presence of a magnetic field. Too many defects, however, can lead to blocking the electric current pathway or a breakdown of the superconducting material, so scientists need to be selective in how they incorporate defects into a material.

In a new study from the U.S. Department of Energy’s (DOE) Argonne National Laboratory, researchers used the power of artificial intelligence and high-performance supercomputers to introduce and assess the impact of different configurations of defects on the performance of a superconductor.

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The Government Is Serious About Creating Mind-Controlled Weapons

DARPA, the Department of Defense’s research arm, is paying scientists to invent ways to instantly read soldiers’ minds using tools like genetic engineering of the human brain, nanotechnology and infrared beams. The end goal? Thought-controlled weapons, like swarms of drones that someone sends to the skies with a single thought or the ability to beam images from one brain to another.

This week, DARPA (Defense Advanced Research Projects Agency) announced that six teams will receive funding under the Next-Generation Nonsurgical Neurotechnology (N3) program. Participants are tasked with developing technology that will provide a two-way channel for rapid and seamless communication between the human brain and machines without requiring surgery.

“Imagine someone who’s operating a drone or someone who might be analyzing a lot of data,” said Jacob Robinson, an assistant professor of bioengineering at Rice University, who is leading one of the teams. [DARPA’s 10 Coolest Projects: From Humanoid Robots to Flying Cars].

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Facebook: Fake account removal doubles in 6 months to 3B

Facebook removed more than 3 billion fake accounts from October to March, twice as many as the previous six months, the company said Thursday.

Nearly all of them were caught before they had a chance to become “active” users of the social network.

In a new report, Facebook said it saw a “steep increase” in the creation of abusive, fake accounts in the past six months. While most of these fake accounts were blocked “within minutes” of their creation, the company said this increase of “automated attacks” by bad actors meant not only that it caught more of the fake accounts, but that more of them slipped through the cracks.

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Robots activated by water may be the next frontier

New research from the laboratory of Ozgur Sahin, associate professor of biological sciences and physics at Columbia University, shows that materials can be fabricated to create soft actuators—devices that convert energy into physical motion—that are strong and flexible, and, most important, resistant to water damage.

“There’s a growing trend of making anything we interact with and touch from materials that are dynamic and responsive to the environment,” Sahin says. “We found a way to develop a material that is water-resistant yet, at the same time, equipped to harness water to deliver the force and motion needed to actuate .”

The research was published online May 21 in Advanced Materials Technologies.

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In Ford’s future, two-legged robots and self-driving cars could team up on deliveries

Autonomous vehicles might someday be able to navigate bustling city streets to deliver groceries, pizzas, and other packages without a human behind the wheel. But that doesn’t solve what Ford Motor CTO Ken Washington describes as the last 50-foot problem.

Ford and startup Agility Robotics are partnering in a research project that will test how two-legged robots and self-driving vehicles can work together to solve that curb-to-door problem. Agility’s Digit, a two-legged robot that has a lidar where its head should be, will be used in the project. The robot, which is capable of lifting 40 pounds, can ride along in a self-driving vehicle and be deployed when needed to delivery packages.

“We’re looking at the opportunity of autonomous vehicles through the lens of the consumer and we know from some early experimentation that there are challenges with the last 50 feet,” Washington told TechCrunch in a recent interview. Finding a solution could be an important differentiator for Ford’s commercial robotaxi service, which it plans to launch in 2021.

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