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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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Psychologists have create a creepy machine that can peer into your mind’s eye with incredible accuracy.
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.
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.
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 (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.
The Houston Astros’ José Altuve steps up to the plate on a 3–2 count, studies the pitcher and the situation, gets the go-ahead from third base, tracks the ball’s release, swings … and gets a single up the middle. Just another trip to the plate for the three-time American League batting champion.
Could a robot get a hit in the same situation? Not likely.
Altuve has honed natural reflexes, years of experience, knowledge of the pitcher’s tendencies, and an understanding of the trajectories of various pitches. What he sees, hears, and feels seamlessly combines with his brain and muscle memory to time the swing that produces the hit. The robot, on the other hand, needs to use a linkage system to slowly coordinate data from its sensors with its motor capabilities. And it can’t remember a thing. Strike three!
The Vatican is hosting a 2-day conference on the impact of robotics and AI on humanity.
A 2-day conference focusing on the impact of robotics and artificial intelligence on humanity, that began in the Vatican on Thursday, is being organized by the Pontifical Academy of Social Sciences and the Pontifical Academy of Sciences.
By Robin Gomes
“Robotics, artificial intelligence (AI) and humanity: science, ethics, and polic y”, is the theme of a two-day international conference that kicked off in the Vatican on Thursday.
Ford Motor Company, ones of America’s oldest companies, uses artificial intelligence and machine learning in many ways from the supply chain to production to used car sales to self-driving vehicles. The company prioritizes technology, and this focus is one reason it’s leading the path to the future.