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A visual illustration of Medprompt performance on the MedQA benchmark. Moving from left to right on a horizontal line, the illustration shows how different Medprompt components and additive contributions improve accuracy starting with zero-shot at 81.7 accuracy, to random few-shot at 83.9 accuracy, to random few-shot, chain-of-thought at 87.3 accuracy, to kNN, few-shot, chain-of-thought at 88.4 accuracy, to ensemble with choice shuffle at 90.2 accuracy.
Microsoft Research Blog

Advances in run-time strategies for next-generation foundation models 

November 27, 2024 | Eric Horvitz, Harsha Nori, and Naoto Usuyama

Discover the most effective run-time strategies on the OpenAI o1-preview model, improving accuracy in medical language tasks.

TamGen logo on a gradient background.
Microsoft Research Blog

Accelerating drug discovery with TamGen: A generative AI approach to target-aware molecule generation 

November 25, 2024 | Yingce Xia, Pan Deng, Shufang Xie, Haiguang Liu, and Tao Qin

TamGen uses generative AI to design new drug candidate compounds to treat TB, going beyond traditional methods by generating novel chemical structures. Learn how a collaboration with the Global Health Drug Discovery Institute is making this possible.

LazyGraphRAG blog hero
Microsoft Research Blog

LazyGraphRAG: Setting a new standard for quality and cost 

November 25, 2024 | Darren Edge, Ha Trinh, and Jonathan Larson

Introducing a new approach to graph-enabled RAG. LazyGraphRAG needs no prior summarization of source data, avoiding prohibitive up-front indexing costs. It’s inherently scalable in cost and quality across multiple methods and search mechanisms.

In the news | The Economic Times

AI: the access key to inclusion? 

November 25, 2024

Microsoft Research India plans to expand its Shiksha Copilot, aimed at improving learning outcomes with engaging content, with multimodal, multilingual and multi-device dimensions to help teachers with vision impairments create lesson plans. “The possibilities for AI to positively impact accessibility…

In the news | The Seattle Times

Can AI spot the next bomb cyclone far in advance? Microsoft hopes so 

November 23, 2024

Microsoft unveiled Aurora in June, an AI model that draws on atmospheric data. The company said in a blog post introducing the model that a team of researchers developed it to forecast in the most challenging conditions, for regions without…

cover for new arrival in research
Articles

Rust自动形式化证明、LLMs图模式理解、机械臂动作模仿 

November 21, 2024

编者按:欢迎阅读“科研上新”栏目!“科研上新”汇聚了微软亚洲研究院最新的创新成果与科研动态。在这里,你可以快速浏览研究院的亮点资讯,保持对前沿领域的敏锐嗅觉,同时也能找到先进实用的开源工具。 本期内容速览 01. 自我进化实现Rust自动形式化证明 02. 基于图模式的理解基准测试 03. IGOR: 通过学习统一的动作表示空间让机械臂模仿人类动作 论文链接:https://arxiv.org/p...

Awards | ACM MobiCom

ACM MobiCom Best Community Paper Award 

November 21, 2024

CosMAC won the Best Community Paper Award at ACM MobiCom 2024!

Articles

External Validity of Online Experiments: Can We Predict the Future? 

November 20, 2024

“It is difficult to make predictions, especially about the future” – Yogi Berra (perhaps apocryphal) How well can experiments be used to predict the future? At Microsoft’s Experimentation Platform (ExP), we pride ourselves on ensuring the trustworthiness of our experiments.…

Outlined illustrations of Karin Strauss, Jake Smith, Bichlien Nguyen, and Sergey Yekhanin for the Microsoft Research Podcast, Ideas series.
Microsoft Research Podcast

Ideas: The journey to DNA data storage 

November 19, 2024 | Karin Strauss, Bichlien Nguyen, Jake Smith, and Sergey Yekhanin

Research manager Karin Strauss and members of the DNA Data Storage Project reflect on the path to developing a synthetic DNA–based system for archival data storage, including the recent open-source release of its most powerful algorithm for DNA error correction.

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