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.

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Dnotitia Inc. (Dnotitia), a company specializing in long-term memory AI and semiconductor-integrated solutions, today announced the official commercial launch of Seahorse Cloud (SaaS), a managed AI ...

Learn why Google’s TurboQuant may mark a major shift in search, from indexing speed to AI-driven relevance and content discovery.

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 ...

Kioxia Corporation today announced the successful demonstration of achieving high-dimensional vector search scaling to 4.8 billion vectors on a single server with its open-source KIOXIA AiSAQ(TM) ...

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