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 ...

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 ...

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

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

A roughly 110,000-year-old Neanderthal male and a roughly 120,000-year-old Neanderthal recovered from the same Siberian cave ...

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

A new AI-powered framework could transform how astronomers measure the expansion of the Universe. By analyzing images of Type ...

Goodjuju Marketing, a website and SEO agency built exclusively for residential property management companies, has been named ...

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

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 ...

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