Alessandro Sordoni shares recent efforts on building and re-using large collections of expert language models to improve zero-shot and few-shot generalization to unseen tasks.
Naoto Usuyama proposes GigaPath, a novel approach for training large vision transformers for gigapixel pathology images, utilizing a diverse real-world cancer patient dataset, with the goal of laying a foundation for cancer pathology AI.
“GenAI can potentially unlock a slew of high-value applications, from improving patient care to accelerating drug development and clinical discovery, to the ultimate dream of precision health: predicting medical events.” – Hoifung Poon, General Manager, Microsoft Research Health Futures Multimodal…
Lev Tankelevitch explores how metacognition—the psychological capacity to monitor and regulate one's cognitive processes—provides a valuable perspective for comprehending and addressing the usability challenges of generative AI systems around prompting, assessing and relying on outputs, and workflow optimization.
What’s new in AutoGen?
Chi Wang discusses the latest updates on AutoGen – the multi-agent framework for next generation AI applications. This includes milestones achieved, community feedback, new exciting features, and ongoing research and challenges.
Microsoft researchers share their advancements in the fields of foundations models, drug discovery, material design and machine learning, highlighting how deep learning is transforming the natural sciences.
Chris Bishop shares the vision for how Microsoft Research AI4Science will leverage AI to model and predict natural phenomena, and provides updates on exciting real-world progress.
| Christopher Bishop, Madeleine Daepp, Bonnie Kruft, Ashley Llorens, Alex Lu, Tristan Naumann, Kristen Severson, Alessandro Sordoni, Lev Tankelevitch, Naoto Usuyama, Chi Wang, Tian Xie, and Rianne van den Berg
In this Forum episode, we share how AI is transforming health care and the natural sciences, the intersection of AI and society, and the continuing evolution of foundational AI technologies.
计算机科研人眼中不可或缺的“她力量”
要推动计算机领域的创新与可持续发展，提升性别的包容性是十分重要的一环。异质群体解决问题的表现常常优于同质群体，从业者的多样性也可以更好地增强创造力。多年来，微软亚洲研究院一直致力于推动计算机领域的多元发展，联合多方力量积极构建一个让女性与科技行业更加紧密共生的未来。 在微软亚洲研究院，你可以看到许多不同岗位上的优秀女性——从实习生到研究员、工程师，再到管理层，她们有的是团队不可或缺的灵魂人物，有的...