<< Inspired by the mastery of artificial intelligence (AI) over games like Go and Super Mario, scientists (..) trained an AI agent -- an autonomous computational program that observes and acts -- how to conduct research experiments at superhuman levels by using the same approach. >>
<< Since time at our facility is a precious resource, it is our responsibility to be good stewards of that; this means we need to find ways to use this resource more efficiently so that we can enable more science, (..) One bottleneck is us, the humans who are measuring the samples. We come up with an initial strategy, but adjust it on the fly during the measurement to ensure everything is running smoothly. But we can't watch the measurement all the time because we also need to eat, sleep and do more than just run the experiment." >> Daniel Olds.️
<< This is why we taught an AI agent to conduct scientific experiments as if they were video games. This allows a robot to run the experiment, while we -- humans -- are not there. It enables round-the-clock, fully remote, hands-off experimentation with roughly twice the efficiency that humans can achieve, >> Phillip Maffettone.️
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After AIs mastered Go and Super Mario, scientists have taught them how to 'play' experiments. DOE/ Brookhaven National Laboratory. March 25, 2021.
Phillip M Maffettone, Joshua K Lynch, et al. Gaming the beamlines— employing reinforcement learning to maximize scientific outcomes at large-scale user facilities. Machine Learning: Science and Technology, 2 (2): 025025 doi: 10.1088/ 2632-2153/abc9fc. Mar 25, 2021.
Also
Anomalous formation of molecules after vapor deposition. FonT. Dec 31, 2015.
keyword 'ai' | 'bot' in FonT
keyword 'ia' | 'ai' | 'robota' in Notes (quasi- stochastic poetry)
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