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Research Focus: May 13, 2024
Microsoft Research Blog

Research Focus: Week of May 13, 2024 

May 15, 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
Microsoft Research Blog

Microsoft at CHI 2024: Innovations in human-centered design 

May 15, 2024

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.

Articles

MatterSim:人工智能解锁材料设计的无限可能 

May 14, 2024

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...

ICRA 2024 conference recap blog - RASCAL library
Microsoft Research Blog

RASCAL: Novel robotics for scalable and highly available automated storage and retrieval 

May 14, 2024 | 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.

Xiaoyuan Yi

In the news | TEDx Talks

Value Compass: Illuminating the path towards human-machine symbiosis | Xiaoyuan Yi | TEDxBeijing Live 

May 14, 2024

ICDE logo in white to the left of the first page of the "VASIM: Vertical Autoscaling Simulator Toolkit" accepted paper.
Microsoft Research Blog

Enhanced autoscaling with VASIM: Vertical Autoscaling Simulator Toolkit 

May 13, 2024 | 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.

The image features a complex network of interconnected nodes with a molecular structure, illuminated in blue against a dark background.
Microsoft Research Blog

MatterSim: A deep-learning model for materials under real-world conditions 

May 13, 2024 | 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 

May 13, 2024

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…

Articles

ICLR上新 | 强化学习、扩散模型、多模态语言模型,你想了解的前沿方向进展全都有 

May 8, 2024

编者按:欢迎阅读“科研上新”栏目!“科研上新”汇聚了微软亚洲研究院最新的创新成果与科研动态。在这里,你可以快速浏览研究院的亮点资讯,保持对前沿领域的敏锐嗅觉,同时也能找到先进实用的开源工具。 本周,全球最负盛名的人工智能盛会之一 ICLR 大会将在奥地利维也纳举办。所以,今天的“科研上新”将为大家带来多篇微软亚洲研究院在 ICLR 2024 上的精选论文解读,涉及领域涵盖深度强化学习、多模态语言模...

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