In the news | Windows Report
Microsoft has come up with a new AI, and this time the Redmond-based tech giant found a way to build an AI capable of building applications that use AI to solve tasks. This one is called AutoGen AI, and it…
In the news | IDUN Technologies podcast with Ivan Tashev
In an intriguing podcast episode, Mark from IDUN Technologies sat down with the renowned Ivan Tashev of Microsoft Research to discuss Ivan’s work at Microsoft, BCI and EEG. It was a privilege to hear from Ivan who has decades of…
欢迎阅读我们的新栏目——“科研上新”! “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。 本期内容速览 01. 强可控视频生成模型 DragNUWA 02. LLM Retriever:通过定制化样本检索器来提高大语言模型的上下文学习效果 03. 解码大脑信号重建视觉感知图像 04. Pro...
The COVID pandemic forced most of us into a new paradigm of work from home and a number of tools to cater to remote work became popular. However, the post pandemic environment has seen interesting scenarios with some people preferring…
In the news | Forbes
Using satellite imagery by Planet, a Microsoft AI tool compared the pictures before and after the fire and made maps to help organizations like the Red Cross assess the damages.
| Gretchen Huizinga, Javier Alvarez-Valle, and Raj Jena
Microsoft Health Futures’ Javier Alvarez & oncologist Raj Jena have been collaborating for years on AI-assisted medical imaging. Today, their work is seeing real-world impact, helping doctors accelerate cancer patients’ access to treatment.
编者按:大模型时代的到来,使得人工智能成为了真正影响人类社会的重要技术之一,如何打造“负责任的人工智能”的问题正变得愈发迫切和关键。一直以来,微软始终致力于依照以人为本的伦理原则推进人工智能的发展,微软亚洲研究院也将“社会责任人工智能(Societal AI)”作为一个重要的研究方向。 2023年,微软亚洲研究院特别组织了“社会责任人工智能(Societal AI)”系列研讨会,为计算机领域的科研...
Awards | Insider
After leading strategy for a health plan and a pioneering digital-health startup, Sullivan wanted an even bigger arena. Sullivan joined Microsoft in 2017 to help the company's global research organization find its footing in healthcare. As the senior director of…
In this issue: HyWay enables hybrid mingling; Auto-Tables transforms non-relational tables into standard relational forms; training dense retrievers to identify high-quality in-context examples for LLM; improving pronunciation assessment in CAPT.