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.

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

Lenovo’s record $20.5 billion quarterly revenue, with 30% coming from AI-related products and services, proves its strategic ...

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

Microsoft in November launched a managed memory feature for its Foundry Agent Service, enabling enterprise AI agents to ...

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

Palantir Technologies Inc. stock faces downside risk due to high valuation and rising competition from tech giants. Click for ...

NEMIX has listed an extreme-capacity 4 TB DDR5 ECC RDIMM memory kit with a price tag exceeding 70,000 USD, highlighting the ...

MongoDB has warned IT admins to immediately patch a high-severity memory-read vulnerability that may be exploited by ...

Abstract: Selecting a database implementation fit for specific data analytic purposes is often challenging due to manufacturers' bias in database performance reporting. This paper aims to compare disk ...

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 popular media, “AI” usually means large language models running in expensive, power-hungry data centers. For many applications, though, smaller models running on local hardware are a much better ...