Microsoft at NeurIPS 2023
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ViSNet: A general molecular geometry modeling framework for predicting molecular properties and simulating molecular dynamics
| Tong Wang, Bin Shao, と Tie-Yan Liu
Molecular geometry modeling is a powerfu…
Research at Microsoft 2023: A year of groundbreaking AI advances and discoveries
AI saw unparalleled growth in 2023, reac…
Abstracts: December 12, 2023
| Gretchen Huizinga, Tao Qin, と Lijun Wu
Members of the research community at Mic…
Steering at the Frontier: Extending the Power of Prompting
| Eric Horvitz, Harsha Nori, と Yin Tat Lee
We’re seeing exciting capabilities of fr…
Phi-2: The surprising power of small language models
| Mojan Javaheripi と Sébastien Bubeck
Phi-2 is now accessible on the Azure mod…
Abstracts: December 11, 2023
| Gretchen Huizinga と Alessandro Sordoni
By treating language models as layers in…
NeurIPS 2023 highlights breadth of Microsoft’s machine learning innovation
We’re proud to have 100+ accepted papers…
MatterGen: Property-guided materials design
| Andrew Fowler, Matthew Horton, Ryota Tomioka, Robert Pinsler, Tian Xie, Claudio Zeni, と Daniel Zügner
The central problem in materials science…
Research Focus: Week of December 4, 2023
Research Focus: Using LLMs in a Rust-bas…