“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

Abstract: The emergence of CXL memory fabrics enables composable, shared memory across multiple server hosts. While this significantly expands memory capacity, it also introduces cache coherence ...

It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data requirements for agentic AI. RAG emerged in the last couple of years to become ...

According to @godofprompt, after reverse-engineering ChatGPT's memory architecture, it was revealed that the platform does not use sophisticated RAG (Retrieval-Augmented Generation) systems or vector ...

Google Research has unveiled “Titans,” a new neural architecture that challenges the fundamental rigidity of current AI models by allowing them to “learn to memorize” in real-time during inference.

For all their superhuman power, today’s AI models suffer from a surprisingly human flaw: They forget. Give an AI assistant a sprawling conversation, a multi-step reasoning task or a project spanning ...

Credit: Anil Inamdar for the original 7-layer architecture diagram and for the inspiration behind the agentic design principles. Agentic-RAG-Pipeline/ # Bonus: full agentic RAG pipeline in addition to ...

Counterpoint warns that DDR5 RDIMM costs may surge 100% amid manufacturers’ pivot to AI chips and Nvidia’s memory-intensive AI server platforms, leaving enterprises with limited procurement leverage.

Over the past decades, quantum physicists and engineers have developed numerous technologies that harness the principles of quantum mechanics to push the boundaries of classical information science.