By Sinem Akinci (opens in new tab), Microsoft Developer Division and Cindy Chiu, Microsoft Experimentation Platform Generative AI (opens in new tab) [1] leverages deep learning models to identify underlying patterns and generate original content, such as text, images, and…
| Stavros Volos and Boris Köpf
Sophisticated side-channel attacks present new security challenges for cloud providers. Learn how Microsoft is exploring defenses against emerging attacks with principled microarchitectural isolation:
In the news | Providence
New real-world data from Providence, Illumina (NASDAQ: ILMN), and Microsoft Research reveals that Comprehensive Genomic Profiling (CGP), when done early in a cancer patient’s diagnosis, leads to better personalized treatment and patient outcomes. The findings come out of the first…
| Gretchen Huizinga, David Holtz, and Siddharth Suri
Researcher Siddharth Suri and professor David Holtz give a brief history of prompt engineering, discuss the debate behind their recent collaboration, and share what they found from studying how people’s approaches to prompting change as models advance.
In the news | AP News
The Vatican and Microsoft on Monday unveiled a digital twin of St. Peter’s Basilica that uses artificial intelligence to explore one of the world’s most important monument’s while helping the Holy See manage visitor flows and identify conservation problems.
In the news | Various news outlets
The EPIC team is devising novel interaction paradigms with AI, with the ambition to elevate human capabilities. People do, AI elevates. Some of our latest research to turn AI into a new medium by infusing it into the canvas shipped…
In the news | Khaleej Times
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…
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...
| 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.