If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Tianpei Lu (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Bingsheng Zhang (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Xiaoyuan ...

Artificial intelligence and machine learning play an increasingly important role. Algorithms trained on large datasets are ...

Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

As AI moves from controlled experiments into real-world applications, we are entering an inflection point in the security ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Agentic AI systems have now become autonomous, self-sufficient standard across many enterprises. businesses rely on systems ...

The future of healthcare isn’t about humans versus machines. It’s about humans with machines, working side by side.