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 ...

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

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine ...

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.

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 ...

A new machine learning model shows that star-shaped brain cells may be responsible for the brain's memory capacity, and ...

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 ...