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…
AI Models vs. AI Systems: Understanding Units of Performance Assessment
As AI becomes more deeply integrated into every aspect of our lives, it is essential that AI systems perform appropriately for their intended use. We know AI models can never be perfect, so how do…