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

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 ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Detecting writing via artificial intelligence is a tricky dance: Doing it right means being effective at identifying it while ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

Increase agricultural productivity in India using machine learning-based crop recommendation systems for improved yields 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 ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...