We apologize for confusion caused by the erroneous job posting at @nvidia We emphasize quality over quantity. Our work reflects that. My team is at @icmlconf Come talk to us. We will have a coffee chat on Thursday. DM us. @yukez @DrJimFan @ChaoweiX @Azizzadenesheli @JeanKossaifi
@animaanandkumar
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NVIDIA AI Intern Project Showcase by Guan Horng Liu
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Check out the work @guanhorng_liu did during his internship at @NVIDIAAI
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Aging Actively: Long-Term Engagement in Science and Academia
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In this age of short attention, no one plans what we would do if we lived beyond 100. But at @Caltech surrounded by amazing role models of all ages, I feel energized and positive about growing old and doing things I love with students and colleagues.
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Inspiring Colleague Collaboration at Caltech
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So inspiring to be a colleague of Rudy at @Caltech
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Genome-Scale Language Model Predicts Viral Variants
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Please include our genome-scale language model with @arvindr_ @argonne which is open access. Trained on 110 million genomes of viruses and bacteria and able to predict new variants of concern for #SARSCoV2 and other viruses and bacteria. https://
github.com/ramanathanlab/
genslm
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Rigorous AI Research Methodology on arXiv
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Take a look at this one where we do it correctly and rigorously https://
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Fair Model Comparison in PDE Benchmark Studies
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Agree that it is problem-dependent. But once we fix a problem, we should tune all the models sufficiently to ensure a fair comparison. Right now PDEbench and PDEarena give contradicting results on same PDEs
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FNO Model Selection Issues on PDEarena Platform
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Good to meet and discuss how to bring all this knowledge together. Similarly, we have already noted that FNO models on your PDEarena are not correctly selected. Look for a PR coming your way.