The U.S. space agency used a device developed by a startup supported by FAPESP to monitor the sleep patterns, physical activity, and interactions of astronauts on the Artemis 2 mission.

A new method could enable physicists to spot signs of dark matter in gravitational waves that are detected on Earth. This could occur if two colliding black holes spiral through a dense region of dark matter and merge, leaving an imprint in gravitational waves that are rippling across space and time.

After nearly 10 years, three flight experiments and a flying rocket lab, scientists map out the chaotic forces of ultra-fast flight, redefining the future of aerospace travel.

A new study published in Big Earth Data develops a stochastic random forest (RF) classifier to predict extreme wind-gust (WG) occurrences along the western Mediterranean coast by integrating instantaneous and trailing 24-hour meteorological variables across multiple height levels, enabling the model to capture both short-term evolution and immediate atmospheric forcing. It demonstrates strong forecasting performance with high precision, low false-alarm rates, and reliable uncertainty estimation, while identifying barometric-pressure tendencies and humidity as key predictors, highlighting the framework’s potential for early-warning systems, climate resilience, and disaster-risk management. UERRA reanalysis data can be downloaded from the Copernicus Climate Data Store platform: https://cds.climate.copernicus.eu/. Supplementary materials supporting the findings of this study are openly accessible at the public GitHub repository: https://github.com/AI4OCEANS/.

After over seven years of research and development, the student-run AggieSat Laboratory has sent the AggieSat 6 satellite into Earth’s orbit from the Vandenberg Space Force Base in California aboard the Minotaur IV.