This leap is made possible by near-lossless accuracy under 4-bit weight and KV cache quantization, allowing developers to process massive datasets without server-grade infrastructure.

Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has ...

This podcast explores updates to the Pointer Ownership Model for C, a modeling framework designed to improve the ability of developers to statically analyze C programs for errors involving temporal ...

GPT-5.3-Codex-Spark may be a mouthfull, but it's certainly fast at 1,000 Tok/s running on Nvidia rival's CS3 accelerators ...

Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...

Episodic memory allows us to mentally return to experiences that feel personally lived, while semantic memory provides the stable knowledge that binds those experiences into a coherent life story.

The global memory chip shortage is deepening in early 2026, as relentless AI-driven demand strains supply chains and begins to reshape market winners and losers. In a research note released Friday, ...

This atomistic model showing the coexistence of two solid phases of NiTi: austenite (blue), stable at higher temperatures, and martensite (brown), stable at lower temperatures. The martensite region ...

DeepSeek founder Liang Wenfeng has published a new paper with a research team from Peking University, outlining key technical directions for next-generation sparse large language models. The study is ...

SK Hynix said the new facility would help it meet growing demand for memory chips. The $13 billion investment will build on its existing production in Cheongju. According to industry projections cited ...

An alien flying in from space aboard a comet would look down on Earth and see that there is this highly influential and famous software company called Nvidia that just so happens to have a massively ...