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A new machine learning model predicts whether an electrical fault will spark a fire and calculates the exact split-second of ignition down to milliseconds.
Using local large language models, researchers harmonised messy details across 4.2 million biological records and linked 99% of the extracted facts straight back to their sources.
Marine bacteria swim toward dense trails of fucoidan, a tough sugar shed by brown seaweeds. Even though they cannot digest this sugar for food, it acts as a guide to seaweed surfaces.
Researchers built an artificial intelligence model guided by geophysical rules that predicts cyclone tracks and wind strengths more accurately than standard machine learning baselines.
Two politically contrasting Brazilian states won the same international climate funds under jurisdictional REDD+ by relying on informal diplomacy and alliances rather than just formal checklists.
A review reveals that heavy spending on carbon capture public engagement often fails because teams ignore four deep psychosocial reactions.
Researchers trained artificial intelligence models on roughly 190,000 images, achieving over 99% accuracy when identifying roasted coffee varieties.
A newly designed system pairs a specialised language model with reinforcement learning to spot complex website security flaws that regular scanners miss. By practising over time, the tool learned to link subtle weaknesses together like moves on a chessboard.
A computer-modelling study shows that strategically picking land for Indonesia's community forests can double their combined benefits for climate, wildlife, and poverty alleviation compared to handing out permits at random.
Scientists tested different computer models to predict severe storm days in Ranchi, India, finding that boosting methods spot dangerous weather most reliably.