South Korean chip startup Xcena is betting that AI's real bottleneck is not compute, but memory.

MIT's MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining and see a 26% performance gain, researchers say.

Samsung Electronics begins mass production of HBM4 AI memory chips with 40% faster speeds, signs strategic supply deal with ...

Apple has long crowed about the privacy value of running AI locally, but a new report suggests that despite Apple’s best ...

XCENA secures $135M Series B financing to drive growth, innovation, and deployment of advanced memory-centric computing ...

Tensormesh Inc. has hit upon a way to make artificial intelligence inference more efficient by eliminating the need for ...

The memory industry's soaring revenue should ensure that the red-hot rally of these stocks continues.

Researchers built delta-mem to give AI agents working memory at 0.12% parameter overhead, outperforming RAG and context ...

GF Securities (Hong Kong) sees on-chip memory as a niche AI inference trend but takes a neutral stance towards AI chipmaker ...

Read more about Carbon-aware AI model reduces data center emissions while keeping services reliable on Devdiscourse ...

Exabase's new memory engine M-1 reaches 96.4% on LongMemEval with Gemini 3 Flash, outperforming all systems that used the larger Gemini 3 Pro LONDON, May 26, 2026 /PRNewswire/ -- As AI agents move ...

South Korean researchers have successfully developed a core technology that can fundamentally resolve "memory shortages," a ...