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

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

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 ...

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

Arm’s SME2 CPU extension will accelerate AI workloads on upcoming Android smartphones while Apple supports SME2 in iPads but ...

Explore the top AI tools and essential skills every data engineer needs in 2025 to stay ahead—covering data pipelines, ML ...

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

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

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 ...