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 ...

A study conducted at the Institut de Physique du Globe de Paris uses images from NASA's Dawn mission and a Bayesian inversion of the Hapke photometric model to analyze avalanches and ejecta deposits ...

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

Background Comparative evidence on the diagnostic yield of endobronchial ultrasound (EBUS)-guided sampling techniques for ...

Food System Innovations has launched an open-source Food Intelligence Lab to use AI to create better-tasting alternative ...

ECB Chief Economist Philip Lane warns energy prices will keep euro area inflation above 2% until 2028, with implications for ...

Using images acquired by NASA's Dawn mission, researchers focused on two regions of Vesta: bright avalanches in the Cornelia ...

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

Moving past summer hype to examine the tactical safety nets and real-world expectations for the Tigers’ incoming class.

Accurate sunlight data is becoming essential for the clean-energy transition, but tracking how much solar radiation reaches ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...