Allowing AI to talk to itself helps it learn faster and adapt more easily. This inner speech, combined with working memory, lets AI generalize skills using far less data.

A.I. companies are buying up memory chips, causing the prices of those components — which are also used in laptops and smartphones — to soar.

The Alliwava GH8 aims to provide powerful notebook hardware in a compact mini PC case. It uses the latest high-end AMD Ryzen ...

Avalue announced the launch of its new BMX Series industrial desktop barebone systems, including BMX-P550, BMX-P820A, ...

COM Express Compact module based on the latest AMD Ryzen™ AI Embedded P100 processor series. SAN DIEGO, CA, UNITED STATES, ...

Cells organize their molecules into distinct functional areas. While textbooks usually refer to membrane-bound organelles ...

In new UChicago study, researchers used Minecraft to test whether positive or negative emotion makes the recall method more ...

In today's AI and high-performance computing (HPC) scenarios, we are increasingly aware of the limitations of traditional TCP ...

Tesla appears to be quietly rolling out a new version of its Full Self-Driving computer, "Hardware 4.5", or "AI4.5." ...

Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.

The new analogue in-memory chip performs computation inside memory, lowering power consumption and latency for AI and ...

New Heights in Edge AI: Significantly Faster NPU and GPU Performance ...