AI for Science，憧憬一个人人都可参与科学发现的未来
作者：刘铁岩 编者按：正处于起步阶段的 AI for Science 被认为是科学发现的第五范式。尽管目前对于 AI for Science 的定义和研究方向仍有诸多讨论，但这并不妨碍 AI for Science 已经开始在科学发现的实践中取得令人瞩目的成果。近年来，微软研究院科学智能中心杰出首席科学家刘铁岩博士和他的团队致力于推动 AI for Science 的发展和应用。在这篇署名文章中，...
Research Focus: Week of May 13, 2024
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Large language models (LLMs) have shown remarkable performance in generating text similar to…
Microsoft at CHI 2024: Innovations in human-centered design
From immersive virtual experiences to interactive design tools, Microsoft Research is at the frontier of exploring how people engage with technology. Discover our latest breakthroughs in human-computer interaction research at CHI 2024.
MatterSim：人工智能解锁材料设计的无限可能
作者：科学智能中心 编者按：随着科技的不断发展，新材料已成为增强产业竞争力的关键因素。然而，新材料的物理和化学特性复杂多变，准确预测其属性，特别是实际合成和使用条件下的属性，是物质科学领域中长期存在的挑战，也是材料工业数字化转型的核心挑战之一。 为了破解这一难题，微软研究院科学智能中心（Microsoft Research AI for Science）开发了深度学习模型 MatterSim，能够...
RASCAL: Novel robotics for scalable and highly available automated storage and retrieval
| Richard Black, Marco Caballero, Andromachi Chatzieleftheriou, Ant Rowstron, David Sweeney, and Hugh Williams
RASCAL is an untethered robot with a modular design, allowing it to move flexibly along and between evenly spaced storage shelves. Discover how it can address the availability and scalability challenges of existing automated storage and retrieval systems.
Enhanced autoscaling with VASIM: Vertical Autoscaling Simulator Toolkit
| Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, and Jesús Camacho Rodríguez
Autoscaling can optimize cloud resource usage and costs by adjusting to demand. VASIM shows that simplifying testing and refinement of autoscaling algorithms can enable rapid development and evaluation of more efficient & cost-effective autoscaling strategies.
MatterSim: A deep-learning model for materials under real-world conditions
| Han Yang, Jielan Li, Hongxia Hao, and Ziheng Lu
Property prediction for materials under realistic conditions has been a long-standing challenge within the digital transformation of materials design. MatterSim investigates atomic interactions from the very fundamental principles of quantum mechanics.
In the news | Economist
Today’s AI models are impressive. Teams of them will be formidable
On may 13th Openai unveiled its latest model, gpt-4o. Mira Murati, the company’s chief technology officer, called it the “future of interaction between ourselves and the machines”, because users will be able to speak to the model, which will talk…