Taking inspiration from the word-predicting large language models, a U-M team is kickstarting an atom-predicting model with 200,000 node hours on Argonne’s Polaris.
The study aims to help society, including regulators considering AI safety regulations and organizations considering adopting AI, understand the societal implications of ever-smarter machines.
It was believed that running more propellant through a Hall thruster would wreck its efficiency, but new experiments suggest they might power a crewed mission to Mars.