In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Poster Presentation at the 2026 Crohn's & Colitis Congress® Showcases Use of Causal Machine Learning and IBD Plexus® to ...

马克·吉罗拉米（Mark Girolami）｜英国皇家工程院院士｜剑桥大学教授｜艾伦·图灵研究所首席科学家｜全球人工智能与数据科学领域领军人物马克·吉罗拉米是国际公认的人工智能、机器学习与统计计算领域的顶尖科学家。作为英国国家人工智能旗舰机构——艾伦 ...

A new study combines drone data, satellite observations, and ground-based flux measurements to examine methane emissions from ...

Zanskar has raised $115 million to find about a dozen geothermal resources that could help power the grid throughout the U.S.

在薄膜材料生长领域，传统的物理气相沉积（physical vapor deposition, ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.