The 2025–2026 Joseph O. Hirschfelder Prize in Theoretical Chemistry was awarded to Dr. Frank Noé, Partner Research Manager at Microsoft Research AI for Science on October 21, 2025 at the Hirschfelder Award Banquet held at Maple Bluff Country Club. The award, accompanied by a monetary…
While the auto-bidding literature predominantly considers independent bidding, we investigate the coordination problem among multiple auto-bidders in online advertising platforms. Two motivating scenarios are: collaborative bidding among multiple distinct bidders managed by a third-party bidding agent, and strategic bid selection for multiple ad campaigns managed…
Vision-language-action models (VLAs) trained on large-scale robotic datasets have demonstrated strong performance on manipulation tasks, including bimanual tasks. However, because most public datasets focus on single-arm demonstrations, adapting VLAs for bimanual tasks typically requires substantial additional bimanual data and fine-tuning. To address this challenge, we…
Fair exchange has been studied in computer science for many decades. The problem consists of enabling two participants to exchange digital information in a way which is fair, even when one may be malicious. The goal is to ensure that either all honest participants receive…
AI agents are poised to transform digital marketplaces. To explore what can happen when AI agents interact and transact at scale, we built Magentic Marketplace, an open-source simulation environment for studying agentic market designs.
On Wednesday, researchers at Microsoft released a new simulation environment designed to test AI agents, along with new research showing that current agentic models may be vulnerable to manipulation. Conducted in collaboration with Arizona State University, the research raises new questions about how well AI agents will…
The Recurrent Neural Network-Transducer (RNN-T) is widely adopted in end-to-end (E2E) automatic speech recognition (ASR) tasks but depends heavily on large-scale, high-quality annotated data, which are often costly and difficult to obtain. To mitigate this reliance, we propose a Weakly Supervised Transducer (WST), which integrates…
If you are interested in cutting edge machine learning (ML), video and graphics and want to make the experiences of millions of personal computer (PC) users and developers more productive and enjoyable, please join us at Microsoft Applied Sciences Group. We are working all ways that…
If you are interested in cutting edge machine learning (ML), video and graphics and want to make the experiences of millions of personal computer (PC) users and developers more productive and enjoyable, please join us at Microsoft Applied Sciences Group. We are working all ways that…
We are looking for a Senior Researcher - GPU Performance – Hardware/Software Codesign researcher to explore hardware/kernel-level optimizations to deliver significant efficiency gains for Large Language Models and Generative AI experiences.
As a Research Intern at Microsoft Research, you will be at the forefront of developing and implementing cutting-edge technology multimodality. This role is ideal for candidates who are passionate about physics informed multimodal learning, generation and multimodal foundation model training, across typical modal vision, text,…
The Brain-Computer Interfaces (BCI) project at Microsoft Research aims to make BCI accessible to the general population. This involves developing non-intrusive methods, using fewer electrodes, and designing custom signal acquisition devices. Our focus is on interactive BCI, which requires response times within seconds and relies…
