Sergei Kalinin (@sergei_imaging) 's Twitter Profile
Sergei Kalinin

@sergei_imaging

Weston Fulton Chair professor, UT Knoxville: using the power of (the Force) ML for moving atoms and learning physics

ex Amazon, ex ORNL

ID: 3000372940

linkhttps://en.m.wikipedia.org/wiki/Sergei_V._Kalinin calendar_today26-01-2015 20:45:31

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Sergei Kalinin (@sergei_imaging) 's Twitter Profile Photo

Real progress is being able to make and characterize 10,000 materials from sufficiently complex composition space in a day. Really doesn't matter that much how far computation is scaled beyond SoTA

Ben Blaiszik (@benblaiszik) 's Twitter Profile Photo

2024 AI/ML Publication Trends in Science: 📈 Strong growth across domains continues! Whether you're a graduate student, developer, researcher in industry, professor, postdoc, or citizen scientist - these numbers reflect one aspect of our collective progress. Let's look at the

2024 AI/ML Publication Trends in Science: 📈

Strong growth across domains continues! Whether you're a graduate student, developer, researcher in industry, professor, postdoc, or citizen scientist - these numbers reflect one aspect of our collective progress. 

Let's look at the
Sergei Kalinin (@sergei_imaging) 's Twitter Profile Photo

Good thing: my evening entertainment now includes watching Despicable Me and other cool movies Not so good thing: I am asked to dance

Sergei Kalinin (@sergei_imaging) 's Twitter Profile Photo

🪄 Welcome to the era of quantum sheep-puting! Now the data centers can become truly green powered, ecological, and directly translating ML to the real world in the form of products. I wonder how DI Vincenzo criteria are satisfied for quantum sheep-puters? linkedin.com/posts/sergei-k…

Andrew Côté (@andercot) 's Twitter Profile Photo

You know your civilization messed up big time when the hardest part of doing anything is getting permission to do it. We should be fighting nature, physical law, entropy, etc, not government rules and bureaucracy.

Sergei Kalinin (@sergei_imaging) 's Twitter Profile Photo

The positive side effect of ML is increased astronomy knowledge: Egyptians -> Ptolemeian model -> Copernikan -> Kepler laws -> Newton laws -> (general relativity)

Sergei Kalinin (@sergei_imaging) 's Twitter Profile Photo

How to make double edged feedback to a student: "your response to reviewers is super good. Now you train all new group members to do it".