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 ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.

As AI companies snap up memory chips, smartphone and PC makers face higher costs and tighter supply — which could lead to ...

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 ...

Scientists map how quantum computer errors persist and link over time, revealing hidden memory that could reshape error correction.

PCWorld reports that AI data center demand is driving a global memory chip shortage, causing RAM and NAND storage prices to spike by hundreds of percent. Major tech companies including Dell, Lenovo, ...

Demand for memory chips currently exceeds supply and there's very little chance of that changing any time soon. More chips ...

Big artificial intelligence models are known for using enormous amounts of memory and energy. But a new study suggests that ...

Struggling with ongoing sleep problems could do more than leave you groggy—it may accelerate memory decline and increase the risk of dementia. This is the warning of a study that found that older ...

Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...