From vision to reality: a unified neural solver for the power grid
Release
Peter Hess
Climate and Sustainability
To respond to the global climate emergency, we're using AI and hybrid cloud to accelerate discovery of climate mitigation and adaption solutions. We're improving carbon emission performance through optimization and capture, and preparing enterprises for the impact of climate change.
Our work
AI for seeing the forest — and the trees
NewsKim MartineauIBM and partners open-source a new AI model for monitoring Earth’s oceans
ResearchKim MartineauA faster way to screen supply chains for harmful chemicals
ResearchKim MartineauIBM and ESA open-source TerraMind, the best performing generative AI model for Earth observation
ReleaseAshley PetersonSimplifying geospatial AI with TerraTorch 1.0
Technical noteRomeo Kienzler, Juan Bernabé-Moreno, Paolo Fraccaro, Bianca Zadrozny, Campbell Watson, Benedikt Blumenstiel, Joao Lucas de Sousa Almeida, Michael Johnston, Christian Pinto, and Michal Muszynski- See more of our work on Climate and Sustainability
Publications
Location Is All You Need: Continuous Spatiotemporal Neural Representations of Earth Observation Data
- Mojgan Madadikhaljan
- Jonathan Prexl
- et al.
- 2026
- CVPR 2026
Workshop paperSMART-MIG: A Learning Framework for Scalable and Energy-Efficient GPU Scheduling
- Wenqing Yu
- Neel Karia
- et al.
- 2026
- IPDPS 2026
Conference paperBenchmarking and Scaling Earth Observation Foundation Models with vLLM and Kubernetes Orchestration
- 2026
- ESA‑NASA FM4EO Workshop 2026
TalkPRACTICAL EMBEDDING WORKFLOWS WITH TERRATORCH, THE GEOSPATIAL FINE-TUNING TOOLKIT
- Romeo Kienzler
- Isabelle Wittmann
- et al.
- 2026
- ICLR 2026
Workshop paperFlipFlop: A Static Analysis-based Energy Optimization Framework for GPU Kernels
- Saurabhsingh Rajput
- Alex Brandt
- et al.
- 2026
- ICSE 2026
Conference paperTerraKit: Standardizing AI-Ready Geospatial Data Preparation for the TorchGeo Ecosystem
- Rosie Lickorish
- Romeo Kienzler
- 2026
- PyTorchEU 2026
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