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

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

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

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 ...

From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move ...

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

The predictive capabilities of AI can be a powerful tool, but the goal of such algorithms is to maximize efficiency, which ...

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 ...

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

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

Here's a sharper definition of what AI SOC platforms can do today and what they cannot, and how to evaluate these platforms ...

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