A faster way to screen supply chains for harmful chemicals
Research
Kim Martineau
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
IBM 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 MuszynskiPhotos: How IBM and NASA's new geospatial model is changing our view of the world
NewsKim MartineauAn IBM-led team is exploring how AI can prepare the electrical grid for the low-carbon era
NewsPeter HessRapidly unlocking geospatial insights with IBM AI chips
NewsBethany Hill McCarthy- See more of our work on Climate and Sustainability
Publications
MDLab: AI frameworks for Carbon Capture and Battery Materials
- Bruce Elmegreen
- Hendrik Hamann
- et al.
- 2025
- Frontiers in Environmental Science
HyRet-Change: A Hybrid Retentive Network for Remote Sensing Change Detection
- Mustansar Fiaz
- Mubashir Noman
- et al.
- 2025
- IGARSS 2025
Learnable Channel Converter for Multi-Spectral Image to RGB Visualization using a Vision-Text Model
- Haoxiang Qiu
- Tomoya Sakai
- et al.
- 2025
- IGARSS 2025
Enterprise Benchmarks for Large Language Model Evaluation
- Bing Zhang
- Mikio Takeuchi
- et al.
- 2025
- NAACL 2025
Earth Observation Foundation Models for Region-Specific Flood Segmentation
- Helen Tamura-Wicks
- Geoffrey Dawson
- et al.
- 2025
- ICLR 2025
Text-Guided Few-Shot Semantic Segmentation with Training-Free Multimodal Feature Matching
- Guillaume Buthmann
- Tomoya Sakai
- et al.
- 2025
- ICASSP 2025