AI is driving demand and higher prices for DRAM and NAND into 2026.  Products using non-volatile memories to replace NOR and ...

If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. The pace at which large ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

One such event occurred in December 2024, making it worthy of a ranking for 2025. The hackers behind the campaign pocketed as ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall - SiliconANGLE ...

"Microsoft (US), Elastic (US), MongoDB (US), Google (US), AWS (US), Redis (US), Alibaba Cloud(US), DataStax (US), SingleStore (US), Pinecone (US), Zilliz (US), KX (US ...

Modern artificial intelligence systems operate with a fundamental paradox: they demonstrate remarkable reasoning capabilities while simultaneously suffering from systematic amnesia. Large language ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...