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Chris Bishop at Research Forum
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Research advances are driving real-world…

The general model architecture of ViSNet. (a) Model sketch of ViSNet. ViSNet embeds the 3D structures of molecules and extracts the geometric information through a series of ViSNet blocks and outputs the molecule properties such as energy, forces, and HOMO-LUMO gap through an output block. (b) Flowchart of one ViSNet Block. One ViSNet block consists of two modules: i) Scalar2Vec, responsible for attaching scalar embeddings to vectors.; ii) Vec2Scalar. The inputs of Scalar2Vec are the node embedding, edge embedding, direction unit and the relative positions between two atoms.
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| Tong Wang, Bin Shao, と Tie-Yan Liu

Molecular geometry modeling is a powerfu…

ニュース | Microsoft News Center

2023 was a major year for generative AI,…

Research Focus Week of February 5, 2024
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Research Focus: New Research Forum serie…

Research Forum January 2024 - panel discussion with Ashley Llorens, Sebastien Bubeck, Ahmed Awadallah, and Ece Kamar
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Microsoft Research Forum (opens in new t…

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Microsoft announces the AFMR Minority Se…

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Microsoft Research ブログ

| Tie-Yan Liu と Tao Qin

The Global Health Drug Discovery Institu…

MSR Podcast - AI Frontiers with Chris Bishop
Microsoft Research ポッドキャスト

| Ashley Llorens と Christopher Bishop

In this episode of “AI Frontiers,” AI4Sc…

Microsoft Research Podcast - Abstracts hero with a microphone icon
Microsoft Research ポッドキャスト

| Gretchen Huizinga, Tao Qin, と Lijun Wu

Members of the research community at Mic…