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How AI can change the world 

November 8, 2024

Artificial intelligence is changing the landscape of how we think, process and analyse data. And at the forefront of the shift in thought is AI for Good Lab at Microsoft, which uses AI to further data collection for things like…

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AI2BMD登上Nature,以量子级精度推进蛋白质动力学 

November 7, 2024

编者按:随着人工智能在蛋白质研究中的重要性日益提升,预测静态的蛋白质晶体结构已不再是难题。然而,如何在原子级别精确刻画蛋白质动态变化仍是一项亟需解决的挑战。微软研究院科学智能中心王童研究员及其团队,历时四年研究推出的基于 AI 的分子动力学模拟系统 AI2BMD,对蛋白质等生物大分子进行量子级精度的全原子模拟,实现了比经典模拟更高的精度,和比密度泛函理论更快的速度,为包括生物分子建模等在内的生物研...

AI2BMD blog hero - illustration of a chip with network nodes extending from all sides
Microsoft Research Blog

From static prediction to dynamic characterization: AI2BMD advances protein dynamics with ab initio accuracy 

November 6, 2024 | Tong Wang, Yatao Li, Ran Bi, Haiguang Liu, and Tao Qin

Microsoft Research’s AI2BMD, an AI-based system that efficiently simulates a wide range of proteins in all-atom resolution, can advance drug discovery and biomolecular research.

Outlined illustrations of Chris Hawblitzel and Jay Lorch for the Microsoft Research Podcast, Abstracts series.
Microsoft Research Podcast

Abstracts: November 5, 2024 

November 5, 2024 | Amber Tingle, Chris Hawblitzel, and Jay Lorch

Researchers Chris Hawblitzel and Jay Lorch share how progress in programming languages and verification approaches are bringing bug-free software within reach. Their work on the Rust verification tool Verus won the Distinguished Artifact Award at SOSP ’24.

An abstract image of the Magentic-One multi-agent team shown as a hierarchy of agents with the top node showing a gear icon to represent the Orchestrator agent, and four leaf nodes with icons representing the Coder, Computer Terminal, Web Surfer, FIle Surfer agents, respectively. The image shows a title with the text "Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks".
Articles

Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks 

November 4, 2024

By Adam Fourney, Principal Researcher; Gagan Bansal, Senior Researcher; Hussein Mozannar, Senior Researcher; Victor Dibia, Principal Research Software Engineer; Saleema Amershi, Partner Research Manager Contributors: Adam Fourney, Gagan Bansal, Hussein Mozannar, Cheng Tan, Eduardo Salinas, Erkang (Eric) Zhu, Friederike Niedtner,…

Outlined illustrations of Shan Lu and Bogdan Stoica for the Microsoft Research Podcast.
Microsoft Research Podcast

Abstracts: November 4, 2024 

November 4, 2024 | Gretchen Huizinga, Shan Lu, and Bogdan Stoica

In their 2024 SOSP paper, researchers explore a common—though often undertested—software system issue: retry bugs. Research manager Shan Lu and PhD candidate Bogdan Stoica share how they’re combining traditional program analysis and LLMs to address the challenge.

SOSP 2024 on a blue and green gradient background
Microsoft Research Blog

Microsoft at SOSP 2024: Innovations in systems research 

November 4, 2024

Building resilient systems, scaling deep learning computation, and reproducing failures in production are just some of the ways Microsoft researchers are advancing the state of the art in computer systems research at SOSP 2024.

Three icons that represent (left to right) ecology and environment, economics, and technology for emerging markets.
Microsoft Research Blog

AI-powered microgrids facilitate energy resilience and equity in regional communities 

November 1, 2024 | Peeyush Kumar

When augmented with AI, small power grids can create opportunities for decentralized, equitable, and resilient power. Microsoft’s collaboration shows AI’s potential to optimize energy distribution and empower communities.

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Microsoft Research Blog

Research Focus: Week of October 28, 2024 

November 1, 2024

New Research | FLASH: Workflow automation agent for diagnosing recurring incidents; METAREFLECTION: Learning instructions for language agents using past reflections; Boosting LLM training efficiency through faster communication between GPUs; and more.

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