MSRA (Shanghai) System and Engineering Group
MSR Asia-Shanghai The System and Engineering group of Microsoft Research Asia (Shanghai) is a pioneering force in the realm of deep learning systems and their integration into the expansive landscape of large language models (LLMs)…
Assessing AI system performance: thinking beyond models to deployment contexts
AI systems are becoming increasingly complex as we move from visionary research to deployable technologies such as self-driving cars, clinical predictive models, and novel accessibility devices. Unlike singular AI models, it is more difficult to…
AI4Science in Conversation: Chris Bishop and Frank Noé
Chris Bishop, Technical Fellow and Director of Microsoft Research AI4Science welcomes newest team member Frank Noé and announces the opening of a new Microsoft Research lab in Berlin.
Task-Agnostic Graph Explanations
Future of Program Merge
We are revisiting the problem of safe program merge and conducting research towards eliminating bad merges (including merge conflicts) of any form by exploring and combining techniques from program verification (for precise formulation of correctness),…
Women in Data Science Fireside Chat with Cathy Tanimura, Eren Manavoglu and Yan Guo
Women in Data Science at Microsoft (WiDS) Community started as a workshop at the Microsoft Machine Learning and Data Science (MLADS) conference in spring 2018. Since then, we have hosted seven community events, nine consecutive…
A Prediction Model for Malaria using an Ensemble of Machine Learning & Hydrological Drought Indices
Literature is awash with evidence that points to climate change as one of the reasons for the upward increase in infectious disease outbreaks around the globe. With the advancement in Artificial Intelligence (AI) and big…