Microsoft at ICALP 2023: Deploying cloud capacity robustly against power failures
| Konstantina Mellou, Marco Molinaro, and Rudy Zhou
Efficiency is vital in the face of escalating demand for cloud resources. And efficient power management strategies address the bottleneck of power availability in datacenters. Learn how we optimize power allocation to support sustainable resource usage.
In the news | Nature
AI tools are designing entirely new proteins that could transform medicine
Digital art techniques can now devise custom, working biomolecules on demand. Read about recent advances in protein design, including MSR’s research into protein structure generation via folding diffusion.
Renovating computer systems securely and progressively with APRON
| Sangho Lee
This research paper was accepted by 2023 USENIX Annual Technical Conference (ATC) (opens in new tab), which is dedicated to advancing the field of systems research. Whether they’re personal computers or cloud instances, it’s crucial to ensure that the computer…
Awards | USENIX OSDI
Daniel Berger receives OSDI 2023 Best Paper Award
Daniel Berger's paper, Enso: A Streaming Interface for NIC-Application Communication, was selected as a best paper by the OSDI'23 organizers for its quality and potential impact. Enso was also awarded for its open source artifacts.
作者：科学智能中心 编者按：近年来，深度学习技术在分子微观结构预测中取得了巨大的进展。然而，分子的宏观属性和功能往往取决于分子结构在平衡态下的分布，仅了解分子的微观结构还远远不够。在传统的统计力学中，分子动力学模拟或增强采样等是获得平衡分布中采样的常用方法，但这些方法昂贵又耗时。 针对这个长期且艰巨的挑战，微软研究院发布了可用于预测分子结构平衡分布的深度学习框架 Distributional Gr...
Research Focus: Week of July 3, 2023
In this issue: A new study looks at engineers’ views on hybrid work; prompt engineering adds context and specificity to generative AI models; Overwatch learns code edit patterns to aid developers; a Qlib update addresses financial market challenges.
Distributional Graphormer: Toward equilibrium distribution prediction for molecular systems
| Shuxin Zheng, Chang Liu, Yu Shi, Ziheng Lu, Fusong Ju, Jianwei Zhu, Hongxia Hao, Peiran Jin, Frank Noé, Haiguang Liu, and Tie-Yan Liu
Distributional Graphormer, Microsoft’s new deep learning framework for predicting the equilibrium distribution of molecular structures, can generate realistic and diverse molecular structures with high efficiency and low cost.
In the news | Yahoo! News
Breast cancer detection, language learning, sustainability: Can AI help humanity?
While some believe AI could steal jobs or even destroy humanity, others think the technology could improve quality of life for people across the planet.
Qlib全新升级：强化学习能否重塑金融决策模式？
编者按：2020年，微软亚洲研究院开源了金融 AI 通用技术平台 Qlib。Qlib 以金融 AI 研究者和金融行业 IT 从业者为用户，针对金融场景研发了一个适应人工智能算法的高性能基础设施和数据、模型管理平台。一经开源，Qlib 便掀起了一阵热潮，相关开源项目在 GitHub 上已收获了11.4k颗星。作为一个通用技术平台，Qlib 不仅大大降低了行业从业者使用 AI 算法的技术门槛，还为金融...