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AIhub monthly digest: October 2025 – energy supply challenges, wearable sensors, and atomic-scale simulations

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we attend AIES and ECAI, learn about policy design for two-sided platforms, discover how to balance speed and physical laws in atomic-scale simulations, and find out […]

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The great wildebeest migration, seen from space: satellites and AI are helping count Africa’s wildlife

By Isla C. Duporge, Princeton University The Great Wildebeest Migration is one of the most remarkable natural spectacles on Earth. Each year, immense herds of wildebeest, joined by zebras and gazelles, travel 800-1,000km between Tanzania and Kenya in search of fresh grazing after the rains. This vast, circular journey is the engine of the Serengeti-Mara

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New AI tool helps match enzymes to substrates

EZSpecificity combines extensive new enzyme-substrate docking data and a new machine learning algorithm to predict the best pairing for making a desired product, with up to 91.7% accuracy. Illinois professor Huimin Zhao led the study. Photo by Fred Zwicky. By Liz Ahlberg Touchstone A new artificial intelligence-powered tool can help researchers determine how well an

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From the telegraph to AI, our communications systems have always had hidden environmental costs

Yutong Liu & Digit / Digital Nomads Across Time / Licenced by CC-BY 4.0 By Jemimah Widdicombe, Museums Victoria Research Institute When we post to a group chat or talk to an AI chatbot, we don’t think about how these technologies came to be. We take it for granted we can instantly communicate. We only

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