AMD may be adjusting the internal product mix for its Radeon RX 9070-series graphics cards, with a new report suggesting the ...

Shape memory alloys are exotic materials that can be deformed at room temperature and return to their "remembered," ...

The brain seeks novelty. Passive tasks can lead to skill decline. Challenging the brain with new learning, like a new ...

Memory, as the paper describes, is the key capability that allows AI to transition from tools to agents. As language models ...

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

Rumors suggest two DeepSeek V4 options, a flagship for long coding and a lighter build, so teams can ship multi-file updates ...

As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory.

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

The 128GB model is now almost $500 more expensive, offering a scary preview of how the memory shortage threatens to affect ...

The key in agentic AI is establishing clear "expertise directories" and communication protocols using transactive memory ...

A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.

Summary: To ring in 2026, our 24/7 Wall St. Analysts Eric Bleeker and Austin Smith are counting down 12 trends for AI ...