From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

Digging through IMS 2025’s technical sessions unearthed some insights into the microwave industry’s research inclinations, ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

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

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

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

Instance selection plays a pivotal role in enhancing machine learning by identifying and retaining those data instances that are most informative for the learning process, while discarding ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning algorithms that outperform state-of-the-art classical computers. The researchers ...