MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

AI infrastructure can't evolve as fast as model innovation. Memory architecture is one of the few levers capable of accelerating deployment cycles. Enter SOCAMM2 ...

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

It also develops its own series of AI models, and today it announced the availability of its most capable model so far. The ...

A Raspberry Pi 5 offline local AI projects has bee nupdated with offline vision and image generation using CR3VL is a 2B-parameter model, expanding local AI skills without cloud services ...

Memory is not a recording device. It doesn't play back events like a video camera would. Instead, it's a remarkably active, ...

Apple M5 Max raises memory bandwidth to 614 GB/s; up 13% over M4 Max, improving large-model loading and data-heavy workflows.

As local AI workloads grow, businesses may need to upgrade their hardware, particularly including extra RAM and GPU accelerator cards; Upgrading older systems can be less e ...

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

Scientists used a compact AI model to predict how visual cortex neurons respond to images, revealing hidden patterns in perception.

Apple has officially announced and provided details on its upcoming new M5 MacBook Air and Pro models, promising interested ...

Discover the groundbreaking concepts behind "Attention Is All You Need," the 2017 Google paper that introduced the ...