Simpler models can outperform deep learning at climate prediction
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Dec-2025 09:11 ET (29-Dec-2025 14:11 GMT/UTC)
Simple climate prediction models can outperform deep-learning approaches when predicting future temperature changes, but deep learning has potential for estimating more complex variables like rainfall, according to an MIT study.
New Arizona State University research reveals the extent to which sewage pollution threatens the fragile coral reef ecosystems of West Hawaiʻi Island. The study identifies exactly where sewage-contaminated water is entering the ocean, further damaging coral reefs already impacted by climate change, and endangering human health. The research team used advanced airborne mapping techniques, along with comprehensive field sampling and sophisticated statistical models, to pinpoint locations where high levels of fecal bacteria associated with populated coastal areas are driving worsening contamination. The study provides the critical data needed by government officials and local communities to mitigate this threat and protect the health and biodiversity of coastal ecosystems.
The International Society for Stem Cell Research (ISSCR) is proud to announce a collaboration with the Novo Nordisk Foundation to host the ISSCR Annual Meeting in Copenhagen, Denmark 27-30 June 2028.
The ISSCR Annual Meeting embodies the mission of both world-class organizations, supporting new frontiers in rigorous science to better human health. The conference is a revered global forum for stem cell science and regenerative medicine, uniting researchers, clinicians, industry leaders, and policy makers from more than 80 countries.