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 ...

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

Google senior AI product manager Shubham Saboo has turned one of the thorniest problems in agent design into an open-source engineering exercise: persistent memory. This week, he published an ...

AI teams are discovering that the most expensive part of an agent is not the model, it is the memory strategy wrapped around it. Retrieval-Augmented Generation has become the default pattern for ...

During the beta phrase, Dnotitia introduced MCP (Model Context Protocol)-based RAGOps and subsequently expanded the platform with AgentOps capabilities. The official release reflects real-world ...

For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded ...

Google’s newly released “Turbo Quant” paper has become a hot topic in the semiconductor industry. This algorithm maximizes AI ...