Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

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 ...

Abstract: The conventional geo-electromagnetic data inversions are mostly based on gradient optimization methods. However, this type of method can only provide a single “optimal” inverse model under ...

Ornith 1.0 by DeepReinforce is meant for developers who want AI that finishes the job, not just autocompletes the next line.

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 ...

Another day, another AI model from Google. This time, Google DeepMind has released a new member of the Gemma 4 open model family, but it’s fundamentally different from the rest of the lineup.

The company said on Tuesday that it was holding back on releasing the new technology but was working with 40 companies to explore how it could prevent cyberattacks. By Kevin Roose Reporting from San ...

Abstract: Model-based filtering is often carried out while subject to an imperfect model, as learning partially-observable stochastic systems remains a challenge. Recent work on Bayesian inference ...