In the news | GeekWire
AI Dreams: Microsoft @ 50, Chapter 1
Since the early 1990s, the promise of AI has been a driving force at Microsoft Research, which has a track record of breakthroughs in speech recognition, computer vision, machine learning, and other research that continues to advance the state of…
In the news | Venture Beat
Microsoft’s Differential Transformer cancels attention noise in LLMs
Improving LLMs’ ability to retrieve in-prompt information can impact important applications such as retrieval-augmented generation (RAG) and in-context learning (ICL). Microsoft Research and Tsinghua University researchers have introduced Differential Transformer (Diff Transformer), a new LLM architecture that amplifies attention to relevant context while…
编者按：随着人工智能技术的快速发展，数据可视化日渐高效、智能。但自动化生成的图表是否可靠，成为了亟待解决的问题。微软亚洲研究院提出了 VisEval 评估框架，为这一挑战提供了解决方案，并因此荣获全球可视化领域顶尖的学术会议 IEEE VIS 2024 的最佳论文奖。通过高质量的数据集和可靠的自动化评估方法，VisEval 为数据可视化的未来发展提供了坚实的基础，助力数据可视化技术向更智能、更便捷...
In the news | LinkedIn
Microsoft gives $5M to UW Medicine to use AI to accelerate response to next pandemic (update)
David Baker received the Nobel Prize today for breakthrough work in protein design, on creating new proteins to serve as novel therapies and vaccines. Five years ago, we made the decision to go all-in with David. The goal was to…
In the news | AAMC
Can AI fundamentally improve patient care?
Microsoft exec and Learn Serve Lead 2024 speaker James Weinstein, DO, says the technology could eventually expand access and quality, but privacy concerns remain. While artificial intelligence (AI) tools are drawing attention for their potential to improve doctor-patient dynamics —…
In the news | Royal Society of Medicine
Christopher Bishop: 2024 Ellison Cliffe Lecture
Christopher Bishop, Technical Fellow and Director of Microsoft Research AI for Science, discusses how the deep learning technology that underpins the AI revolution is advancing at an extraordinary pace, with many of the most exciting and impactful applications of this…
从预测风暴到设计分子：人工智能基础模型如何加速科学发现
编者按：人工智能基础模型正在加速科学发现的进程，尤其，经过多领域数据训练的基础模型，更能在跨领域的任务中展现出色的性能。微软研究院科学智能中心已利用基础模型打造了一系列强大的科学发现模型，包括：革新天气与污染预测的 Aurora 模型、专注于新材料发现与设计的 MatterGen、可预测新材料行为和属性的 MatterSim，以及可自动设计候选药物的 TamGen 模型等。基础模型的应用不仅提高了...
In the news | Microsoft Customer Stories
Transforming drug discovery: Novo Nordisk uses the power of AI and Azure with Microsoft Research
Developing high-quality medicine is a resource-intensive endeavor that requires collaboration across Novo Nordisk. Novo Nordisk aimed to scale a pipeline of drug discovery, development, and data science capabilities with AI and machine learning. In partnership with Microsoft Research, the teams built…
In the news | Industry Healthcare
Unlocking Next Gen AI Models