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

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, Polars, and LangChain ...

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

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

More Americans are wondering if digital surveillance has gone too far, with growing concerns about privacy. They question, ...

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

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

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

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

An NYU team uses machine learning to analyze neural activity data and uncover how speech is produced. In a recent paper ...

Why Federated Learning is the Next Big Thing in Healthcare AI The use of Artificial Intelligence (AI) in healthcare holds a lot of promise. It’s already making big improvements in diagnosis, decision ...