Research
Applying computing to better understand ecosystems, address environmental challenges, and support a more sustainable future.
Welcome to this first video on Sparrow Studio. In this video, we’ll provide an introduction to Sparrow Studio, what it is, and how it can be used to process and manage your ecology data. In…
Timely spatial data is critical to addressing Africa’s most pressing challenges, yet much of it remains fragmented and inaccessible. This fragmentation drains research resources and forces a reliance on external models that overlook local vulnerabilities.…
Extreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations. A new machine learning system can predict where damage is likely to occur 30-60 minutes before a storm arrives.
Probabilistic bias correction (PBC) is a machine learning framework for improving subseasonal forecasts from dynamical, AI, or hybrid prediction systems. Given a raw ensemble of deterministic forecasts, PBC outputs learning-enhanced probabilities designed to correct systematic…
Aurora 1.5 adds 22 more variables, hourly temporal resolution, and probabilistic ensemble forecasting to the Aurora foundation model, making it more useful for real-world weather, climate, and energy applications.
Microsoft Research India Academic Research Summit 2026 The Microsoft Research India Academic Research Summit 2026 is a vibrant convergence of ideas, bringing together leading researchers, faculty, and innovators from across the country. The summit, over…
