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

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

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 ...

By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...

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

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

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

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 ...

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

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

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.