In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Using a high-throughput fluorescence microscopy system and machine learning algorithms, oxidative stress-related changes in ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Long overlooked and underestimated, glial cells – non-neuronal cells that support, protect and communicate with neurons – are ...

The artificial intelligence (AI) and machine learning (ML) sector has solidified its position as the powerhouse of venture ...

Researchers demonstrated GPUHammer — a Rowhammer attack against GPUs — by degrading the accuracy of machine learning models.

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

The Anderson County Library System implemented new initiatives to promote reading and help manage account resources.

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

The mobile app landscape is experiencing a profound transformation, primarily driven by the pervasive integration of Machine ...

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...