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

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

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

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

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

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

Drug discovery has traditionally been slow, expensive and prone to failure, but AI and machine learning are set to change all ...

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 ...

CSIRO researchers have used quantum machine learning to enhance semiconductor fabrication—a world-first that could reshape ...

In a nondescript conference room, a senior data architect at a Fortune 500 retailer pulls up a dashboard that would have been ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...