编者按:刘海广是一位典型的跨学科研究者,他的学术足迹遍布物理、生物、计算机科学和人工智能等多个领域,在跨学科的学习与研究中不断探索和突破。如今,作为微软研究院科学智能中心(Microsoft Research AI for Science)的首席研究员,刘海广在跨学科研究中取得了哪些成果?他和团队又将如何利用人工智能技术来加速科学研究进程,并推动科研成果向实际应用转化? 从清华大学转学至香港浸会大...
In the news | Eye on AI (podcast)
In this episode of the Eye on AI podcast, we dive deep into the world of AI agents with Ece Kamar, VP of Research and Managing Director of AI Frontiers Lab at Microsoft. Ece shares her unique insights on the…
In the news | GeekWire
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
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
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
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, 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…
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...