A research team from the Hong Kong University of Science and Technology (HKUST), led by Professors Gan Jianping (Department of Ocean Science) and Professor Yang Can (Department of Mathematics), has developed a novel AI-powered tool named STIMP for diagnosing coastal ocean productivity and ecosystem health. STIMP introduces a novel paradigm that imputes missing data and then predicts Chlorophyll-a (Chl-a) concentrations across large spatiotemporal scales. In tests across four representative global coastal regions, STIMP significantly outperformed existing geoscience tools, reducing the mean absolute error (MAE) for imputation by up to 81.39% and for prediction by 58.99%. Accurate Chl-a prediction aids in early detection of harmful algal blooms, ecosystem protection, and provides data-driven insights for evidence-based policy-making. 

New observations of a merger of two black holes confirm decades-old predictions by Albert Einstein, Stephen Hawking and Roy Kerr. The findings emerged from analyses led by Flatiron Institute astrophysicists using the clearest measurements to date of a black hole merger taken by the Laser Interferometer Gravitational-Wave Observatory (LIGO).

By reducing blur and distortion, a new method could expand the practical use of single-pixel imaging for surveillance and other applications

A patent-pending algorithm developed by Purdue University researchers recovers spectral information from photographs taken by conventional cameras. The technology could open up new possibilities for sectors like agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality control, and medical diagnostics.