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

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 ...

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

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

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

New research shows Americans' economic circumstances shape their democratic values more than political ideology when forced ...

Calendar Style Description: Uncertainty, Uncertainty propagation, Bayesian Inference, Bayesian Filtering, Data fusion, Metrology, Measurement Science, Error Analysis ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

ACNE vulgaris (AV) remains one of the most prevalent dermatological conditions, particularly affecting adolescents and young adults. While topical treatments are commonly prescribed for ...