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Physics based AI unlocks first global predictions of carbon cycling in ocean sediments Researchers at The University of Manchester have developed a new physics‑based artificial intelligence approach that, for the first time, enables accurate global‑scale predictions of how dissolved organic carbon moves between seawater and marine sediments, a crucial but previously unquantifiable component of the

Tomra Recycling will present new AI sorting solutions at the IFAT 2026 in Munich from 4 to 8 May. At stand 339 in Hall B6, the company will mark 30 years of its AUTOSORT™ system and outline developments in sensor-based and AI-supported sorting technologies. Development of sensor-based sorting Since the introduction of Autosort in 1996

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