DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
VentureBeat

New memory framework builds AI agents that can handle the real world's unpredictability

Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a ...
Dark Reading

AI Agents May Have a Memory Problem

Memory-enabled artificial intelligence agents that can store and recall user data for more intelligent and personalized decision-making are vulnerable to memory injection attacks that can manipulate ...
Forbes

AI Agent Types – And Memory

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI In the big conversation that companies and people are having ...
Morningstar

Vectorize Breaks 90% on LongMemEval with Open-Source AI Agent Memory System

BOULDER, Colo., Dec. 16, 2025 /PRNewswire/ -- Vectorize today released Hindsight, an open-source memory system for AI agents that, for the first time, surpasses 90% accuracy on LongMemEval, the ...
insideHPC

Penguin Solutions SMART Modular CXL NV-CMM E3.S 2T Memory Module Achieves CXL Compliance

Penguin Solutions, Inc. (Nasdaq: PENG) a provider of high-performance computing and AI infrastructure solutions, today - Read ...
InfoWorld

AI memory is really a database problem

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 ...