Researchers have built a tiny insect-like robot that can fly with realistic poise.
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Category: robotics/AI – Page 2,134
Tesla driver killed after smashing into truck had just enabled Autopilot – US crash watchdog
A.I. is yet to prove the safety of self-driving cars.
“Shortly following the accident, we informed the National Highway Traffic Safety Administration and the National Transportation Safety Board that the vehicle’s logs showed that Autopilot was first engaged by the driver just 10 seconds prior to the accident, and then the driver immediately removed his hands from the wheel,” a Tesla spokesperson told The Register in an emailed statement. “Autopilot had not been used at any other time during that drive. We are deeply saddened by this accident and our thoughts are with everyone affected by this tragedy.”
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A social perception scheme for behavior planning of autonomous cars
To navigate dynamic environments, autonomous vehicles (AVs) should be able to process all information available to them and use it to generate effective driving strategies. Researchers at the University of California, Berkeley, have recently proposed a social perception scheme for planning the behavior of autonomous cars, which could help to develop AVs that are better equipped to deal with uncertainty in their surrounding environment.
“My research has focused on how to design human-like driving behaviors for autonomous cars,” Liting Sun, one of the researchers who carried out the study, told TechXplore. “Our goal is to build AVs that do not only understand human behavior, but also perform in a similar way in multiple aspects, including perception, reasoning and action.”
Sun and her colleagues observed that human drivers tend to treat other vehicles as dynamic obstacles, often inferring additional information from their behavior on the road. This information is generally occluded environment information or physically undetectable social information.
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The robot that can read your mind: Creepy Black Mirror-style machine scans your brain to recreate the face you’re thinking about
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Psychologists have create a creepy machine that can peer into your mind’s eye with incredible accuracy.
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AI-powered ‘knowledge engine’ a game-changer for antibiotic resistance
A groundbreaking project to tackle one of the world’s most pressing and complex health challenges—antimicrobial resistance (AMR)—has secured a $1 million boost. UTS will lead a consortium of 26 researchers from 14 organisations in the development of an AMR ‘knowledge engine’ capable of predicting outbreaks and informing interventions, supported by a grant from the Medical Research Future Fund.
“AMR is not a simple problem confined to health and hospital settings,” explains project Chief Investigator, UTS Professor of Infectious Disease Steven Djordjevic. “Our pets and livestock rely on many of these same medicines, so they find their way into the food chain and into the environment through animal faeces.”
If left unchecked, AMR is forecast to cause 10 million deaths annually by 2050, and add a US$100 trillion burden to health systems worldwide.
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The U.S. Military Is Buying a $130 Million Laser Weapon
Pew pew o.o
“High energy laser weapons have been a system that the United States has wanted to add into their defense portfolio since the invention of the laser,” said senior VP of contracts at Dynetics Ronnie Chronister in a press release.
The system was designed to defend against missiles, rockets and artillery, according to Defense News. It could also prove useful against military drones and other unmanned aircraft.
The news comes after luxury automaker Rolls-Royce unveiled a new hybrid power source intended to continuously power 100-kilowatt laser weapons earlier this week. According to today’s statement, Rolls-Royce will provide the power source and thermal management system for the HEL TVD.
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High School Student Uses AI to Detect Gravitational Waves
Before he could legally drive, high school student Adam Rebei was already submitting jobs on the Blue Waters supercomputer at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign (NCSA) to run complex simulations of black holes.
“My first time using Blue Waters, we did a tour first and got to see the computer, which is a very amazing thing because it’s a very powerful machine,” Rebei told the NCSA, “and I just remember thinking, ‘All of the GPUs!’ It’s an insane amount of GPUs, and I’ve never seen anything like it.”
To get there, Rebei first took an astronomy class that led him to his work with the NCSA. Once there, he teamed up with research scientist Eliu Huerta, who leads the group’s Gravity Group.
Machine learning speeds modeling of experiments aimed at capturing fusion energy on Earth
Machine learning (ML), a form of artificial intelligence that recognizes faces, understands language and navigates self-driving cars, can help bring to Earth the clean fusion energy that lights the sun and stars. Researchers at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) are using ML to create a model for rapid control of plasma—the state of matter composed of free electrons and atomic nuclei, or ions—that fuels fusion reactions.
The sun and most stars are giant balls of plasma that undergo constant fusion reactions. Here on Earth, scientists must heat and control the plasma to cause the particles to fuse and release their energy. PPPL research shows that ML can facilitate such control.
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