Sergei Kalinin
Sergei Kalinin
Contributor, The Yuan

Sergei Kalinin is professor of machine learning in physical sciences at the University of Tennessee. He uses machine learning to solve problem in physics, from discovering physical laws from observational microscopy data, designing and making better materials, and moving atoms by electron beams.

Teaching decision-making involves objectives, rewards, values, policies
The doomsayers notwithstanding, decision-making remains the exclusive preserve of humans and the day when AI usurps it is still far off. Prof Sergei Kalinin reflects on a GenAI-assisted year of teaching ML and draws on it for lessons for next year’s curriculum in this blog post.
Sergei Kalinin  |  Nov 28, 2023