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.

With new training and standards and accreditation through a program prioritizing wellness for people living with cognitive changes, nonprofit senior ...

Village Green Memory Care releases comprehensive overview of residential dementia care services, protocols, and ...

From the “inference inflection point” to OpenClaw’s rise as an agent operating system, Nvidia’s GTC keynote outlined the ...

Making chips for training AI models made it the world’s biggest company, but demand for inference is growing far faster.

Memories.ai is building a large visual memory model that can index and retrieve video-recorded memories for physical AI.

For almost a century, psychologists and neuroscientists have been trying to understand how humans memorize different types of ...

The soaring cost and limited supply of computer memory is slowing some projects — and spurring creative approaches.

Nvidia's BlueField-4 STX reference architecture inserts a dedicated context memory layer between GPUs and traditional storage ...

One of the most widely accepted models for how cells remember their identity may be incorrect. This is shown in a new study ...

Nvidia released its most capable open-weight model yet and revealed plans to spend $26 billion over five years building ...

Real-world AI for robots is hard and expensive to create. Or is it? Researchers at a UK university just showed us how to ...