Improving Yield of Energy Resources – AI Driven Approach
As we are building smart energy infrastructure that includes various forms of hybrid energy resources including electric vehicles, solar, battery storage etc., it firstly requires data to be collected from these disparate energy sources and…
Three Microsoft fellowship programs support academics and the future of the computer science field
To help academics advance their research, Microsoft has supported hundreds of fellows through the Microsoft Research PhD Fellowship. This year we are expanding our funding support by creating two new fellowships: one designed to support…
Research you can (really) use with Dr. Lenin Ravindranath Sivalingam
Episode 35, August 1, 2018 – Dr. Ravindranath Sivalingam tells us why he is so passionate about what he does, explains how internships can literally change your life, and shares the story of how a…
Researcher in the Hall: Laura Haas
Laura Haas, Dean, College of Information and Computer Sciences, UMass Amherst attended the Microsoft Research Faculty Summit 2018. We caught her in the hall and she discusses a new body of research around “computing for…
Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis
Most shape analysis methods use meshes to discretize the shape and functions on it by piecewise linear functions. Fine meshes are then necessary to represent smooth shapes and compute accurate curvatures or Laplace-Beltrami eigenfunctions at…
Building a global AI supercomputer – The 2018 Microsoft Research Faculty Summit
We live in the age of the intelligent edge and intelligent cloud. Data is collected at the edge using billions of small devices. The data is pre-processed at the edge and shipped in a filtered…