Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Nvidia debuts the Groq 3 language processing unit, a dedicated inference chip for multi-agent workloads - SiliconANGLE ...

Mamba 3 is a state space model built for fast inference. Learn what it is, how it works, why it challenges transformers, and ...

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

Nvidia (NVDA) has launched its open model Nemotron 3 Super, which is aimed at running complex agentic AI systems at scale.

Nia Therapeutics' Smart Neurostimulation System (SNS) is the first device to obtain FDA breakthrough designation for memory ...

This approach can be viewed as a memory plug-in for large models, providing a fresh perspective and direction for solving the ...

Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...

A study in mice concluded that memory problems associated with age may be driven by our gut microbiome and that the vagus ...

For almost a century, psychologists and neuroscientists have been trying to understand how humans memorize different types of information, ranging from knowledge or facts to the recollection of ...

Choosing an AI model is no longer about “best model wins.” Instead, the right choice is the one that meets accuracy targets, fits latency and cost budgets, respects compliance boundaries and ...