mcquade
Defense Innovation Board Proposes Key AI Ethics Principles
A report from the Defense Innovation Board recommends artificial intelligence ethic principles and actions for the Defense Department in its research, development and deployment of AI technologies. The report includes five principles and 12 recommendations, which the board created after 15 months of researching and discussing with various DOD officials, academic experts and industry partners. The board, which consists of 16 technologists who advise DOD, voted in favor of the recommendations at a public meeting in Washington, D.C., Thursday. To devise these principles, the board drew from existing laws including the Law of War, international law, the U.S. Constitution and Title 10 of the U.S. Code. Although DOD has other technology ethics codes, its AI Strategy in 2018 called for the creation of an individual set of ethics rules around AI. To realize the proposed principles, DIB formed 12 recommended actions.
'The Alexa of chemistry': National Science Foundation puts VCU and partners on fast track to build open network
D. Tyler McQuade, Ph.D., a professor in the Virginia Commonwealth University College of Engineering, is principal investigator of a multi-university project seeking to use artificial intelligence to help scientists come up with the perfect molecule for everything from a better shampoo to coatings on advanced microchips. The project is one of the first in the U.S. to be selected for $994,433 in funding as part of a new pilot project of the National Science Foundation called the Convergence Accelerator (C-Accel). McQuade and his collaborators will pitch their prototype in March 2020 in a bid for additional funding of up to $5 million over five years. Adam Luxon, a Ph.D. student in the Department of Chemical and Life Science Engineering who has been involved from the beginning, explained it this way: "We want to essentially make the Alexa of chemistry." Just as Amazon, Google and Netflix use data algorithms to suggest customized predictions, the team plans to build an open network that can combine and help users make sense of molecular sciences data pulled from a range of sources including academia, industry and government.
[News] 'Alexa for chemistry': National Science Foundation puts VCU and partners on fast track to build open network
D. Tyler McQuade, Ph.D, professor in the Department of Chemical and Life Science Engineering at Virginia Commonwealth University College of Engineering, is principal investigator of a multi-university project seeking to use artificial intelligence to help scientists come up with the perfect molecule for everything from a better shampoo to coatings on advanced microchips. The project is one of the first in the U.S. to be selected for $994,433 in funding as part of a new pilot project of the National Science Foundation (NSF) called the Convergence Accelerator (C-Accel). McQuade and his collaborators will pitch their prototype in March 2020 in a bid for additional funding of up to $5 million over five years. Adam Luxon, a Ph.D. student in the Department of Chemical and Life Science Engineering who has been involved from the beginning, explained it this way: "We want to essentially make the Alexa of chemistry." Just as Amazon, Google and Netflix use data algorithms to suggest customized predictions, the team plans to build a platform and open knowledge network that can combine and help users make sense of molecular sciences data pulled from a wide range of sources including academia, industry and government.
Racism, misogyny, death threats: Why can't the booming video-game industry curb toxicity?
Sam Haberern, 20, was playing Call of Duty on Xbox at his family's house in Connecticut, and he was on a roll. After several dozen high-scoring rounds, other gamers started to take notice. He began receiving invites from players asking him to play with them. He accepted one and joined in the group's online conversation through his headset. "It was great," said Haberern in an interview with The Washington Post.
Pool watch
SWIMMERS can drown in busy swimming pools when lifeguards fail to notice that they are in trouble. The Royal Society for the Prevention of Accidents says that on average 15 people drown in British pools each year, but many more suffer major injury after getting into difficulties. Now a French company has developed an artificial intelligence system called Poseidon that sounds the alarm when it sees someone in danger of drowning. When a swimmer sinks towards the bottom of the pool, the new system sends an alarm signal to a poolside monitoring station and a lifeguard's pager. In trials at a pool in Ancenis, near Nantes, it saved a life within just a few months, says Alistair McQuade, a spokesman for its maker, Poseidon Technologies.