Microsoft Research
AI for Science
新闻与深度文章
| Gretchen Huizinga, Evelyne Viegas, Muhammed Idris, 和 Cesar Torres Jr.
Innovative AI research often depends on access to resources. Microsoft wants to help. Technical Advisor Evelyne Viegas and distinguished faculty from two Minority Serving Institutions discuss the benefits of Microsoft’s Accelerating Foundation Models Research program in their lives and research.
新闻报道 | The Deep View: Conversations
Director of Microsoft Research talks AI for Science – Chris Bishop
I sat down with Dr. Chris Bishop, a Microsoft technical fellow and the director of Microsoft Research AI for Science, to sink into the details of what AI is actually unlocking for science, and what kind of AI is doing…
Marwin Segler addresses chemical synthesis in drug discovery with a learning-to-rank framework that integrates AI-based models, significantly boosting prediction accuracy and preferred by chemists.
| Sarah Lewis, Tim Hempel, Jose Jimenez-Luna, Michael Gastegger, Yu Xie, Victor García Satorras, Osama Abdin, Bas Veeling, Ryota Tomioka, 和 Frank Noé
Meet BioEmu-1 from Microsoft Research. This deep learning model can generate thousands of protein structures per hour, unlocking new possibilities for protein scientists and drug discovery and research.
| Tian Xie
Researchers pull back the curtain on MatterGen and MatterSim, the cutting-edge tools reshaping how we design and innovate advanced materials. Explore the journey from concept to creation driving these AI-powered technologies.
| Lindsay Kalter, Ziheng Lu, 和 Tian Xie
How do you generate and test materials that don’t exist yet? Researchers Tian Xie and Ziheng Lu share the story behind MatterGen and MatterSim, AI tools poised to transform materials discovery and help drive advances in energy, manufacturing, and sustainability.
| Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Ryota Tomioka, 和 Tian Xie
Microsoft researchers introduce MatterGen, a model that can discover new materials tailored to specific needs—like efficient solar cells or CO2 recycling—advancing progress beyond trial-and-error experiments.
NeoMem: hardware/software co-design for CXL-native memory tiering; Chimera: accurate retrosynthesis prediction by ensembling models with diverse inductive biases; GA4GH task execution API enables multicloud task execution.
| Christopher Bishop 和 Eliza Strickland
From the Microsoft Booth at NeurIPS 2024, Microsoft Research AI for Science Director Chris Bishop discusses how AI is changing approaches to scientific advancement—from drug discovery to weather forecasting—and the profound impact it can have on the world.