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

Each model—along with all the patterns it has learned—is stored in arrays of powerful computers in large data centers known as neural networks. LLMs can appear to reason using a process called ...

More information: Yi Teng et al, Solving the fractional quantum Hall problem with self-attention neural network, Physical Review B (2025). DOI: 10.1103/PhysRevB.111.205117.

Advances in neural network architectures, training methods, memory systems, and multi-modal fusion are revolutionising human-computer interaction paradigms. The convergence of increasingly smart ...

Designing metamaterials involves computationally intensive tasks, resulting in a time-consuming design process. A deep learning approach is proposed to generate metamaterial designs directly from the ...

A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time without ...

ChatGPT has triggered an onslaught of artificial intelligence hype. The arrival of OpenAI’s large-language-model-powered (LLM-powered) chatbot forced leading tech companies to follow suit with ...

Neural Magic’s technology leadership in vLLM will enhance Red Hat AI’s ability to support LLM deployments anywhere and everywhere across the hybrid cloud with a ready-made, highly-optimized ...