In Learning to Play: The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition, we invited programmers into this digital world to help tackle multi-agent reinforcement learning. This challenge, the second competition using the Project Malmo platform, tasked participants with designing learning agents capable of collaborating with…
Since its open-source release on December 3rd 2018, Microsoft SEAL has become one of the world’s most popular homomorphic encryption libraries and has been adopted by security and privacy professionals world-wide in both academia and industry. Thanks to the fact that it is written in…
One challenge with AI algorithmic fairness is that one usually has to know the potential group(s) that an algorithm might discriminate against in the first place. However, in joint work with Maria De-Arteaga, Nathaniel Swinger, Tom Heffernan, and Max Leiserson, we automatically enumerate groups of…
Varma’s team published a paper that exploded the number of choices that could be considered from a search engine from five thousand to ten million. This changed the nature of the game and led to the establishment of a new research area in machine learning…
As email continues to be not only an important means of communication but also an official record of information and a tool for managing tasks, schedules, and collaborations, making sense of everything moving in and out of our inboxes will only get more difficult. The…
January 31, 2019 marked the start of the sixth workshop for the Swiss Joint Research Center (Swiss JRC), an innovative and successful collaborative research engagement between Microsoft Research and the two universities that make up the Swiss Federal Institutes of Technology—ETH Zurich (ETH) and EPFL.…
The increasing availability and accuracy of AI has stimulated uses of AI technologies in mainstream user-facing applications and services. Along with opportunities for infusing valuable AI services in a wide range of products come challenges and questions about best practices and guidelines for human-centered design.…
Causal inference studies the relationship between causes and effects. For example, one kind of question that causal inference can answer is the “What-happens-if …” question. What happens if I take a specific medication? What happens if I raise the price of a product? What happens…
Researchers from Microsoft Research will present a series of studies and insights relating to fairness in machine learning systems and allocations at the FAT* Conference—the new flagship conference for fairness, accountability, and transparency in socio-technical systems—to be held from January 29–31 in Atlanta, Georgia. Presented…
The idea of crowdsourcing traffic data has been around for a while: If we can get vehicles on the roads to upload their current speeds, then we can get instant, up-to-date data on how fast traffic is moving for well-traveled segments. This is useful for…
Artificial intelligence technologies hold great promise as partners in the real world. They’re in the early stages of helping doctors administer care to their patients and lenders determine the risk associated with loan applications, among other examples. But what happens when these systems that users…
Mutations in the genome of an organism give rise to variations in its form and function—its phenotype. However, phenotypic variations can also arise in other ways. The random collisions of molecules constituting an organism—including its DNA and the proteins that transcribe the DNA to RNA—result…
Meet our community of researchers, learn about exciting research topics, and grow your network
Ongoing conversations at the cutting edge of research
Join us for a continuous exchange of ideas about research in the era of general AI
