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.

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.

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.

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.

October 31, 2024 | Julian Whiting, Zachary Hills, Alonso Guevara Fernández, Ha Trinh, Adam Bradley, and Jonathan Larson

GraphRAG leverages semantic structuring of data to generate responses to complex user queries. A collaboration with Uncharted expands the frontiers of this technology, developing a new approach to processing local queries: DRIFT search.

October 31, 2024

编者按：生成式基座模型（Generative Foundation Model）已成功应用在多个领域，并塑造了全新的生产范式。将这一范式与行业特有数据结合，有望构建具有行业特色的生成式基座模型。对此，微软亚洲研究院从金融场景出发，设计了大市场模型 LMM 和金融市场模拟引擎 MarS，希望帮助金融研究人员为不同场景定制生成式模型，并且构建适用于金融市场所有下游任务的生成式基座模型应用新范式，为金融...