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

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Artificial intelligence and quantum computing are no longer speculative technologies. They are reshaping cybersecurity, ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

If your media spend is higher than it was two years ago and growth still feels harder, you’re not mismanaging the account.

Abstract: We present DiMM (DiMAT Materials Modeler), an interactive framework that advances materials informatics through an effective integration of machine learning (ML) and genetic algorithms (GA).

Abstract: Supply chain management infrastructure holds a great deal of importance for each and every business sector from suppliers to the final consumer. There is often insufficient visibility in ...