Introduction  In the next decade, deep learning may revolutionize the natural sciences, enhancing our capacity to model and predict natural occurrences. This could herald a new era of scientific exploration, bringing significant advancements across sectors from drug development to renewable energy. In line with Microsoft’s mission to empower every person and every organization on the planet to achieve more, the DeepSpeed (opens in new tab) team at Microsoft is responding to this opportunity by  

Modern applications heavily rely on robust network infrastructure, requiring continuous innovation. In this evolving landscape, Microsoft is at the forefront, spearheading innovation efforts in networking and strengthening the foundational network infrastructure that underpins the cloud ecosystem. By investing in and enhancing this critical infrastructure, Microsoft not only ensures the resilience and scalability of cloud services but also lays the groundwork for the sophisticated and transformative applications that will continue to define the technological landscape. ACM SIGCOMM (opens in new tab), […]

[MUSIC FADES]  All right, Ahmed, let’s dive right in. Among other things, I find that people are hungry to understand the drivers of the progress we’re seeing in AI. Over these last few years when people like you or I have tried to explain this, we’ve often pointed to some measure of scale. You know, I know many times as I’ve given talks in AI, I’ve shown plots that feature some kind of up-and-to-the-right trend in scale over time—the increasing […]

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 NEW RESEARCH PolySem: Efficient Polyglot Analytics on Semantic Data Data scientists and data engineers spend a large portion of their time trying to understand, clean and  

YANG: Yeah, so proteins are this really big, important family of biomolecules, and they’re responsible for a lot of cellular processes. For example, hemoglobin carries oxygen in your blood, and insulin regulates your blood sugar levels. And people are interested in generating new proteins to do things that people care about—not necessarily in our bodies, but we’re interested in proteins as industrial enzymes so for catalysis and to make new chemicals or for therapeutics to make new drugs. And as […]

This research paper was presented at the 28th ACM SIGPLAN International Conference on Functional Programming (opens in new tab) (ICFP), a premier forum for discussing design, implementations, principles, and uses of functional programming. Functional programming languages offer a host of advantages, such as ensuring memory safety (opens in new tab) and eliminating arbitrary side effects. This enables systematic analysis and compositional program construction, facilitating development of scalable and  

This research paper was presented at the Sixth AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) (opens in new tab), a premier forum for discussion on the societal and ethical aspects of artificial intelligence. The rise of text-to-image (T2I) generation has ushered in a new era of innovation, offering a broad spectrum of possibilities for creators, designers, and  

JOSH BENALOH: Welcome to Intern Insights, a Microsoft Research Podcast featuring brilliant students who are contributing to the research and advances at Microsoft as part of the renowned internship program at Microsoft Research. [MUSIC FADES] I’m Dr. Josh Benaloh, a senior cryptographer here at Microsoft Research, and I’m talking today with two of our finest interns: Anunay Kulshrestha and Karan Newatia, who are working with me on a project called ElectionGuard, a free, open-source toolkit that allows voters to check […]

Retrosynthesis analysis is a critical task in organic chemistry and central to many important industries. It primarily involves decomposing a target molecule into commercially available molecules step by step. Since synthesis strategies can be quite diverse and strategic, retrosynthesis planning with expert knowledge has long been considered an “art.” Recently, machine learning-based approaches have achieved promising results on this task, particularly in single-step retrosynthesis prediction. In retrosynthesis, a molecule can be represented as either a 2D graph or a 1D […]

In this article In the realm of AI, the new frontier isn’t confined to a singular form of expression; fast-paced developments are happening at the juncture of multiple modalities. Multimodal AI systems that can analyze, synthesize, and generate across text, images,