A new review in the Journal of Materials Science maps how machine learning, from graph neural networks to large language models, is accelerating the design of high-entropy alloy catalysts across vast ...

Read our latest machine learning statistics for 2026, including market size, regional growth, funding, enterprise adoption, ...

Hello.This is Pharmer.In this article, I will organize how much machine learning can be used in HPLC method development from ...

Susan C. Athey is an economist who has studied ways to analyze digital markets and policy by connecting economic theory, ...

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...

Researchers trained six machine learning models on 2,048 laboratory records and found gradient boosting predicts the ...

Machine learning is a fast-growing and successful branch of artificial intelligence. In essence, machine learning is the process of allowing a computer system to teach itself how to perform complex ...

If you've ever wondered whether an AI feature on your phone is doing anything useful, Ben Khalesi has probably asked the same question. He has covered AI and Android for Android Police since 2023, ...

As Anthropic develops AI models such as Claude, the focus is on instilling morals and intelligence in machines. Christopher Olah, a co-founder, raises profound questions regarding the consciousness ...

When scientists assess how dangerous a bacterium is, the first question often seems simple: Can it be stopped or killed? In ...

A precise streamflow forecast is crucial in hydrology for flood alerts, water quantity and quality management, and disaster preparedness. Machine learning (ML) techniques are commonly employed for ...

UMG has hired its first senior vp of applied AI and machine learning, with Òscar Celma joining the record label group.