While #GTC24 may feature even more powerful hardware we help you do more with less. Try our Galore on @huggingface #opensource #gpupoor #democratization
@animaanandkumar
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Austrian President Honors Postdoc’s Outstanding PhD Research
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So proud to have my postdoc @julberner receive the highest honor in Austria for his PhD by the President of Austria!
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FourCastNet: First High-Resolution AI Weather Forecasting Model
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Very proud to see the FourCastNet model that I helped build at @nvidia in collaboration with @BerkeleyLab and other universities be highlighted in Jensen's keynote at #GTC24 – FourCastNet was the very first high-resolution #AI model to show competitive performance for weather… pic.twitter.com/SwkFDJSRtB
— Prof. Anima Anandkumar (@AnimaAnandkumar) 19 mars 2024Very proud to see the FourCastNet model that I helped build at @nvidia in collaboration with @BerkeleyLab and other universities be highlighted in Jensen's keynote at #GTC24 – FourCastNet was the very first high-resolution #AI model to show competitive performance for weather
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ProteinDT and MoleculeSTM Featured in AI Research
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Thank you for featuring ProteinDT and MoleculeSTM @Shengchao_Liu
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Preserving Open Source Community: A Call to Action
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I love the open source community! We should fight to preserve this at all costs!
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Llama 7B Training on Single RTX 4090 GPU Memory Efficient
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For the first time, we show that the Llama 7B LLM can be trained on a single consumer-grade GPU (RTX 4090) with only 24GB memory. This represents more than 82.5% reduction in memory for storing optimizer states during training. Training LLMs from scratch currently requires huge
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Local Neural Operators Learn Multi-Resolution Feature Extraction
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How do we capture local features across multiple resolutions? While standard convolutional layers work only on a fixed input-resolution, we design local neural operators that learn integral and differential kernels, and are principled ways to extend standard convolutions to
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Generative AI Advances Protein-Ligand Binding Prediction
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Thrilled that our work on generative AI for dynamic protein-ligand binding is now on the cover of @Nature @ZhuoranQ @wn8_nie @tfmiller3 https://
nature.com/articles/s4225
6-024-00792-z
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AI and Science Panel at National AI Advisory Committee
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Join me and @JeffDean for a panel on AI +Science at National Artificial Intelligence Advisory Committee (NAIAC) Public Meeting. Register: https://
events.nist.gov/profile/form/i
ndex.cfm?PKformID=0x27760abcd
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Agenda: https://
nist.gov/system/files/d
ocuments/2024/02/13/2024-02-22NAIACMeetingAgenda.pdf
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Generative Models for Protein-Ligand Binding Configuration
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Generative models are not just for generating plausible text, as in ChatGPT, but also samples in other domains such as chemistry and biology. An important problem is generating the configuration of how proteins and small molecules (ligands) bind with one another. We designed