加速药物发现：基于生成式AI的靶点感知分子生成器TamGen
全球健康药物研发中心 （GHDDI） 和 微软研究院科学智能中心（Microsoft Research AI for Science）团队通过开发 TamGen 在研究结核病方面取得了重要突破。TamGen 是一款基于 Transformer 模型的开源化学语言模型，用于开发特定靶点的药物化合物。联合团队通过密切合作成功确定了几种有前景的结核病蛋白酶抑制剂，其中最有效的化合物表现出显著的生物活性。...
Advances in run-time strategies for next-generation foundation models
| 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.
Accelerating drug discovery with TamGen: A generative AI approach to target-aware molecule generation
| 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: Setting a new standard for quality and cost
| 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?
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
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…
Rust自动形式化证明、LLMs图模式理解、机械臂动作模仿
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
CosMAC won the Best Community Paper Award at ACM MobiCom 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.…