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Research Focus: Week of December 2, 2024
Microsoft Research Blog

Research Focus: Week of December 2, 2024 

December 4, 2024

Can a new SOS-RMT protocol enable more efficient CL-MPC?; A fair-by-design, cloud-based algorithmic trading platform; LLM2CLIP unlocks richer visual representation; New technique enhances Low-Rank Adaptation’s expressiveness, generalization capabilities.

MarS illustration with document workflow and chatbot icons on a purple gradient background
Microsoft Research Blog

MarS: A unified financial market simulation engine in the era of generative foundation models 

December 4, 2024 | Weiqing Liu, Junjie Li, Yang Liu, Chang Xu, Shikai Fang, Lewen Wang, and Jiang Bian

Microsoft Research presents a new large market model and Financial Market Simulation Engine (MarS) to help empower financial researchers with enhanced efficiency and more accurate insights for downstream tasks in financial markets.

universe
Articles

人工智能“天文学家”能否帮助人类理解宇宙? 

December 3, 2024

编者按:在广袤无垠的宇宙中,存在着无数类型各异的天体。借助现代技术,人们能够获取这些天体的丰富信息,包括形状、光谱、坐标、红移、引力透镜、爆发时变等大量数据,进而探究宇宙起源与演变的奥秘。但传统科学技术已难以应对海量数据的处理需求,这限制了天文学研究的进一步发展。 为了帮助天文学家分析遥远星系历经百亿年旅程到达太空望远镜的测光数据,微软亚洲研究院联合清华大学天文系以及俄亥俄州立大学(The Ohi...

Articles

Theoretical foundation of large language models: Microsoft Research Asia StarTrack Scholars 2025 enhancing the power of LLMs 

December 3, 2024

Large language models (LLMs), led by GPT and followed by numerous other models, have demonstrated their strong capabilities in many areas, from language processing such as text generation and document summarization, to coding, reasoning, and planning tasks, etc. LLMs have…

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.

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