This research was accepted by the 2023 International Conference on Learning Representations (ICLR), which is dedicated to the advancement of the branch of artificial intelligence generally referred to as deep learning. Figure 1: Overview of our method. Diffusion models have emerged as a powerful class of generative AI models. They have been used to generate photorealistic images and short videos, compose  

This research was accepted by the 2023 International Conference on Learning Representations (ICLR), which is dedicated to the advancement of the branch of artificial intelligence generally referred to as deep learning.

[MUSIC ENDS]  Welcome to Episode 1 of Collaborators. Today, I’m joined by our first two guests, Petar Maymounkov and Kasia Sitkiewicz. Petar and Kasia are working on a project that has collaboration in its DNA: Gov4git, a decentralized, transparent, and secure git-based protocol for governing open-source communities that they say circumvents more costly approaches to things like validation and dispute resolution.  We’re going to unpack all of that in this episode. But before we do, let’s get to know our […]

This research was accepted by the 2023 International Conference on Learning Representations (ICLR), which is dedicated to the advancement of the branch of artificial intelligence generally referred to as deep learning.

Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. In this article AWARD Microsoft researcher Kalai awarded 2022 ACM Prize in Computing Yael Tauman Kalai, a senior principal researcher at Microsoft Research, has been awarded  

TLA+ is a high level, open-source, math-based language for modeling computer programs and systems–especially concurrent and distributed ones. It comes with tools to help eliminate fundamental design errors, which are hard to find and expensive to fix once they have been embedded in code or hardware.  The TLA language was first published in 1993 by the pioneering computer scientist Leslie Lamport, now a distinguished scientist with Microsoft Research. After years of Lamport’s stewardship and Microsoft’s support,  

For many people, opening door handles or moving a pen between their fingers is a movement that happens multiple times a day, often without much thought. For a robot, however, these movements aren’t always so easy. In reinforcement learning, robots learn to perform tasks by exploring their environments, receiving signals along the way that indicate how good their behavior is compared to the desired outcome, or state. For the described movements, for example, we can specify a reward function that […]

Cloud Intelligence/AIOps blog series In the first two blog posts in this series, we presented our vision for Cloud Intelligence/AIOps (AIOps) research, and scenarios where innovations in AI technologies can help build and operate complex cloud platforms and services effectively and efficiently at scale. In this blog post, we dive deeper into our efforts to automatically manage large-scale cloud services in deployment. In particular, we focus on an important post-deployment cloud management task that is pervasive across cloud services  

Microsoft has made significant contributions to the prestigious USENIX NSDI’23 conference, which brings together experts in computer networks and distributed systems. A silver sponsor for the conference, Microsoft is a leader in developing innovative technologies for networking, and we are proud to have contributed to 30 papers accepted this year. Our team members also served on the program committee, highlighting our commitment to advancing the field. The accepted research papers span