Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

AI is not overhyped. The potential requires equal attention to the less glamorous but more important role of data management.

Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

When chemists design new chemical reactions, one useful piece of information involves the reaction's transition state—the point of no return from which a reaction must proceed. This information allows ...

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...

Check out this new research in Engineering! It introduces an adaptive edge-cloud collaboration method for intelligent machine ...

A machine learning model has been developed that makes optical spectroscopy data easier and quicker to interpret. Researchers from Rice University (TX, USA) have developed a new machine learning ...

A new study published in Engineering presents a novel framework that combines machine learning (ML) and blockchain technology (BT) to enhance computational security in engineering. The framework, ...

Researchers developed a method to evaluate the reliability of AI language models used in biology. The breakthrough offers a ...