Developing small-scale farming to study future possibilities - Peter Hanappe
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This research area addresses planetary-scale challenges such as climate change and the biodiversity crisis. While aiming to build sustainable societies and ecosystems within the limits of environmental resources, capacities we focus on practical actions that extend beyond theoretical studies, contributing to solutions for global challenges in real-world and regional contexts.
Developing small-scale farming to study future possibilities - Peter Hanappe
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Synecoculture that overcomes the trade-off between productivity and environmental damage - Masatoshi Funabashi
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"If you want to accomplish in your life, one thing that would contribute to the future of humanity - what is that?" How do researchers at Sony CSL reflect on these questions and engage with their own research? And what kind of place is Sony Computer Science Laboratories, shaped by such individuals? Through the words of the researchers themselves, we hope to share part of that perspective.
Synecoculture Principles Learning Kit
Synecoculture that overcomes the trade-off between productivity and environmental damage
Realized as Part of Sony China’s Sustainability Initiative
Harnessing Digital Technologies for Smarter Water Management in Agriculture
UNEP releases a video highlighting project achievements
Data-Efficient Sowing Position Estimation for Agricultural Robots Combining Image Analysis and Expert Knowledge
Climate Adaptation: Unlocking Value Chains with the Power of Technology
Tang, Ruyi and Sergeant-Perthuis, Grégoire and Colliaux, David
Implementation of reinforcement learning in chemical reaction networks: application to phototaxis as curiosity-driven explorationApr, 2026
Lahlou, Aliénor and Coghill, Ian and Cochard, Alec and Ruyer-Thompson, Ali and Colliaux, David and Legou, Thierry and Le Saux, Thomas and Hanappe, Peter and Jullien, Ludovic
Minimal reproduction and calibration of a fluorescence microscope for single-cell imagingJ. Open Hardw. | Vol.10, mar, 2026
Khawand, Joe and Colliaux, David
Natural Gradient Descent for online Continual Learningmar, 2026