Accelerating Foundation Models Research
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Microsoft Research Blog
Breaking bonds, breaking ground: Advancing the accuracy of computational chemistry with deep learning
| Rianne van den Berg, Jan Hermann, Christopher Bishop, and Paola Gori Giorgi
Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries, green fertilizers, precision drug discovery, and more.
Microsoft Research Blog
Predicting and explaining AI model performance: A new approach to evaluation
| Lexin Zhou and Xing Xie
ADeLe, a new evaluation method, explains what AI systems are good at—and where they’re likely to fail. By breaking tasks into ability-based requirements, it has the potential to provide a clearer way to evaluate and predict AI model performance.
Microsoft Research Podcast
Ideas: Accelerating Foundation Models Research: AI for all
| Gretchen Huizinga, Evelyne Viegas, Muhammed Idris, and 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.
Microsoft Research Podcast
Abstracts: NeurIPS 2024 with Jindong Wang and Steven Euijong Whang
| Gretchen Huizinga, Jindong Wang, and Steven Euijong Whang
Researcher Jindong Wang and Associate Professor Steven Euijong Whang explore the NeurIPS 2024 work ERBench. ERBench leverages relational databases to create LLM benchmarks that can verify model rationale via keywords in addition to checking answer correctness.
Microsoft Research Podcast
Collaborators: Prompt engineering with Siddharth Suri and David Holtz
| Gretchen Huizinga, David Holtz, and Siddharth Suri
Researcher Siddharth Suri and professor David Holtz give a brief history of prompt engineering, discuss the debate behind their recent collaboration, and share what they found from studying how people’s approaches to prompting change as models advance.
In the news | Microsoft
AFMR was recognized in the Microsoft Annual Report 2024
Through our Accelerating Foundation Models Research program, we’ve made grants to hundreds of projects in AI safety and alignment research, AI-driven scientific discovery, and beneficial applications of AI. And we launched our Global Perspectives Responsible AI Fellowship program, designed to…
In the news | Microsoft On the Issues
Providing further transparency on our responsible AI efforts
As a company at the forefront of AI research and technology, we are committed to sharing our practices with the public as they evolve. This report enables us to share our maturing practices, reflect on what we have learned, chart…
In the news | Microsoft Source
AI ‘for all’: How access to new models is advancing academic research, from astronomy to education
In early 2023, Professor Alice Oh and her colleagues at the Korea Advanced Institute of Science and Technology (KAIST) realized they needed to address the quickly growing interest in OpenAI ChatGPT among KAIST’s students. ChatGPT – a tool developed by…
Microsoft Research Blog
Announcing recipients of the AFMR Minority Serving Institutions grant
Microsoft announces the AFMR Minority Serving Institutions grant recipients, advancing AI research focused on today’s most significant technical and societal challenges. The grant provides funding and access to Azure-hosted foundation models.