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1-bit LLM

In the news | Nikkei xTECH

“1-bit LLM” improves AI energy efficiency by one order of magnitude 

December 3, 2024

Awards | SIGMOBILE

Jie Xiong receives SIGMOBILE Test-of-Time Paper Award 

December 1, 2024

ArrayTrack: A Fine-Grained Indoor Location System (USENIX NSDI, 2013) introduced a pioneering approach to RF-based indoor localization and wireless sensing by leveraging phase-array-based signal processing. Moving beyond traditional wireless signal strength measurements, it utilized multiple antennas and advocated for the…

Articles

Next-generation systems in the AI era: Microsoft Research Asia StarTrack Scholars 2025 shapes system innovation in the AI era 

November 28, 2024

AI is advancing at an extraordinary pace, driven by groundbreaking innovations in computer systems. As we rapidly move towards an era centered around AI computing, these systems have significantly benefited from advancements in AI technology. At this pivotal moment, Microsoft…

TamGen logo on a gradient background.
Articles

加速药物发现:基于生成式AI的靶点感知分子生成器TamGen 

November 28, 2024

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。...

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…

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