Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation ...

Researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in ...

Cardioneurology, the intersection of cardiac and neurological sciences, has become increasingly important due to the complex ...

Technological advances have transformed the robotics and motion control industries. This transformation has dramatically ...

They systematically reviewed recent advances in machine learning (ML) and deep learning (DL) techniques, applying specific search parameters to databases like Scopus and ScienceDirect. The study ...

Our recent work addresses this issue by creating a tool with an uncertainty quantification for microplastic identification. We use a machine learning technique called conformal prediction.

To address these challenges, Argonne scientists designed a new ML system ... harnessing the power of machine learning to continuously monitor and detect anomalies advances the state of the ...

Researchers from the University of Warwick and University of Manchester developed a machine learning-based model to enhance cryoprotectant discovery. The new approach identifies molecules that prevent ...

Evolutionary reinforcement learning is an exciting frontier in machine learning ... It sheds light on the latest advancements in the integration of evolutionary computation with reinforcement ...