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 ...

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

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, ...

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.

Researchers identified five biomarkers in umbilical cord blood that could indicate early-onset sepsis in preterm infants and ...

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 ...

A graphene sensor trained by machine learning can now taste like a human, identifying both basic and complex flavors with stunning accuracy.