Accounting for past imaging studies: Enhancing radiology AI and reporting
| Ozan Oktay, Javier Alvarez-Valle, and Matthew Lungren
The use of self-supervision from image-text pairs has been a key enabler in the development of scalable and flexible vision-language AI models in not only general domains but also in biomedical domains such as radiology. The goal in the radiology…
AI Frontiers: The future of causal reasoning with Emre Kiciman and Amit Sharma
| Ashley Llorens, Emre Kiciman, and Amit Sharma
Emre Kiciman and Amit Sharma join Ashley Llorens to discuss the causal capabilities of LLMs and ongoing journeys with GPT-3.5 and GPT-4 in the newest episode of the Microsoft Research Podcast series, "AI Frontiers."
Research Focus: Week of June 5, 2023
In this issue: Peter Lee discusses AI in medicine. Plus, new research on data inference privacy in machine learning; PII leakage in language models; and automatic prompt organization with gradient descent and beam search.
以科技之力，守护地球家园：微软亚洲研究院助力实现可持续发展
编者按：2023年3月，联合国政府间气候变化专门委员会发布的一份报告[1]表明：“人类活动主要通过排放温室气体，已毋庸置疑引起了全球变暖。不利的气候影响已经比预期的更加深远和极端”。这些巨大的排放量来自全球各行各业，与整个人类的活动都密切相关，随着人类文明的发展，地球也正在遭受破坏。保护环境，建设和谐的生态家园，是人类共同的责任。 一直以来，微软在以数字技术创新，实现绿色低碳的可持续发展道路上不断...
In the news | Microsoft Unlocked
AI Anthology
Recent advances in AI have sparked both wonder and anxiety as we contemplate its transformative potential. AI holds enormous promise to enrich our lives, but this anticipation comes intertwined with apprehensions about the challenges and risks that might emerge. To…
LLM时代，探索式数据分析的升级之路有哪些新助攻？
作者：马平川、丁锐 在这个信息爆炸的时代，数据已经成为我们生活、工作中不可或缺的重要资源。大量的数据犹如一座座金矿，蕴藏着无尽的价值。然而，如果无法从数据中提取出知识和信息并加以有效利用，那么数据本身并不能驱动和引领技术应用取得成功。如何让数据发挥它最大的价值？是数据、知识与智能（DKI）组持续探索的方向，为了实现这一目标，研究员们在探索式数据分析（Exploratory Data Analysi...
Awards | AAMAS 2023
Best Paper Award at AAMAS 2023
Best Paper Award at the 2023 International Conference on Autonomous Agents and Multiagent Systems for “Trust Region Bounds for Decentralized PPO Under Non-stationarity" by Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann and Shimon Whiteson
Exploring MSR Asia’s contributions to ICLR 2023: From robust machine learning to responsible AI
ICLR is recognized as one of the most influential international academic conferences in machine learning. At this year’s conference, Microsoft Research Asia presented its latest research contributions in machine learning robustness and responsible AI, among other fields. Check out the…
By Zewei Xu, Senior Applied Scientist and Will Dubyak, Principal Program Manager In March we announced Dynamics 365 Copilot (opens in new tab) and the Copilot in Power Platform (opens in new tab) which has generated curiosity about how we’ve…