In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

Researchers have identified a previously unknown fossil ape from Egypt that could alter long-held ideas about the origins of ...

The computer scientist is receiving a grant of 2.5 million euros to develop innovative algorithms in computer vision. These innovative AI models are designed to be able to both understand and ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Asteroid Vesta’s battered surface is far from static, it quietly preserves the memory of past collapses, impacts, and ...

Roman's capabilities will allow scientists to map rogue planet mass distributions as well.

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

Increasingly, farms are becoming monitoring environments in their own right, generating data from yield monitors, GPS-guided ...

Stats expert Tim Swartz uses 'spatiotemporal data' to figure out which throw-ins, corners and free kicks lead to wins ...

THE American Thoracic Society (ATS) International Conference 2026, held in Orlando, Florida, USA, May 15–20, united the pulmonary medicine community for a week of discussion on the latest data, ...

The application of advanced statistical methods in infectious diseases has never been more pertinent than during the recent COVID-19 pandemic. Traditional ...