When standard RAG pipelines retrieve redundant conversational data, long-term AI agents lose coherence and burn tokens.

Imagine having a conversation with someone who remembers every detail about your preferences, past discussions, and even the nuances of your personality. It feels natural, seamless, and, most ...

Non-volatile memory (NVM) systems and architectures have emerged as pivotal components in modern computing, offering the combined benefits of data persistence and enhanced energy efficiency. With ...

The world of AI has been moving at lightning speed, with transformer models turning our understanding of language processing, image recognition and scientific research on its head. Yet, for all the ...

UNISYST MRAM unifies code storage and data memory in a high-density, non-volatile architecture for edge AI, industrial and mission-critical designs "System designers are running into the physical and ...

To build trust, organizations must show they can safeguard institutional knowledge and ground AI outputs in real operating context.

RAG isn't always fast enough or intelligent enough for modern agentic AI workflows. As teams move from short-lived chatbots to long-running, tool-heavy agents embedded in production systems, those ...

When discussing memory systems, it seems the most common point made is regarding the difference between short- and long-term memory. It seems pretty well-known that short-term memory operates over a ...

Quantum memory and communication systems represent a transformative frontier in information technology, harnessing quantum mechanical phenomena to store, manipulate and transmit quantum states over ...