In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of two-dimensional memories, systems that can reliably store information despite ...

AI is entering a new phase: its 2.0 era. AI 1.0 was built on unstructured data that applied general machine learning to broad ...

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It is discussed in recruitment, in training planning, in tactical ...

Microchip’s products are long-time embedded-design workhorses, and the new solutions turn its MCUs and MPUs into complete platforms for bringing secure, efficient and scalable intelligence to the edge ...

TCTMD spoke with Lior Jankelson, MD, PhD (NYU Langone Health, New York, NY), an electrophysiologist who leads the AI/machine ...

Self-driving cars did not disappear. They simply slipped out of the spotlight. While attention shifted to generative AI, ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...

Machine design engineers working in the medical device field might draw inspiration from AuraWell’s iterative, ...

AI has fundamentally altered how teams think about mobile software, moving the focus from feature accumulation to long-term intelligence.

In essence, PAI is being used for data center optimization to support the demands of digital AI (DAI) applications like ...

Future AI-guided genomic analysis offers the potential to further optimize gene constructs, expression profiles, and performance traits, accelerating the development of next-generation materials.