We’re excited about the formal launch of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) on Monday, March 18th. We resonate with Fei-Fei Li, John Etchemendy, and other leaders at Stanford on the promise of taking an interdisciplinary approach to AI, on a pathway guided…
Language embedding is a process of mapping symbolic natural language text (for example, words, phrases and sentences) to semantic vector representations. This is fundamental to deep learning approaches to natural language understanding (NLU). It is highly desirable to learn language embeddings that are universal to…
It was crunch time, just as it had been many times before in the preceding weeks. Such is the nature of real-time competition. The yearlong Subseasonal Climate Forecast Rodeo was being sponsored by the Bureau of Reclamation and the National Oceanic and Atmospheric Administration, and…
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…
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…
Microsoft Research is proud to announce the 2019 winners of the Ada Lovelace Fellowship and PhD Fellowship. The Ada Lovelace Fellowship is a new fellowship for Microsoft Research, established to support diverse talent getting doctorates in computing-related fields by providing three years of funding for…
