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GAM takes aim at “context rot”: A dual-agent memory architecture that outperforms long-context LLMs
Researchers have unveiled General Agentic Memory (GAM), a new system designed to keep AI agents from forgetting what matters.
If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...
How CPU-based embedding, unified memory, and local retrieval workflows come together to enable responsive, private RAG ...
It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data ...
The researchers developed a non-invasive visual edge module capable of automatically gathering physiological data from ...
CBP casts the proposal as a routine update but the changes will create a biometric-verified, device-linked analytical ...
Learn how effective token budgeting and build pipelines can prevent AI systems from exceeding costs and maintain stability ...
Google patched a vulnerability in Gemini Enterprise that allowed attackers to steal corporate data through a shared document, ...
The OODA Network is a membership community designed for forward-thinking leaders navigating the convergence of technology, risk, and opportunity. Through exclusive research, events, and peer ...
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