For sleep-deprived nursing moms, artificial intelligence may feel like a lifeline. In fact, a new national survey from Orlando Health reveals if women ages 18 to 44 had an urgent breastfeeding question or concern half (51%) of them would first turn to an AI chatbot, social media or a search engine.

The release of marine isoprene is an important component of material exchange between the ocean and the atmosphere, and its long-term variability and climatic drivers have attracted widespread attention. A research team led by Professor Jialei Zhu at Tianjin University constructed a global marine isoprene emission flux dataset spanning 1950–2020 using machine learning and an improved parameterization scheme. Basing on this dataset, they have revealed mechanisms through which the El Niño–Southern Oscillation (ENSO) modulates the interannual variability of marine isoprene emissions by influencing sea surface temperature, solar radiation, surface winds, phytoplankton activity, and other environmental factors. This study has been published in 2026 Chinese and English editions of SCIENCE CHINA Earth Sciences.