Memory models offer the formal frameworks that define how operations on memory are executed in environments with concurrent processes. By establishing rules for the ordering and visibility of memory ...

For product leaders, the shift requires treating memory as a design primitive rather than a feature to add later.

What if your AI could remember every meaningful detail of a conversation—just like a trusted friend or a skilled professional? In 2025, this isn’t a futuristic dream; it’s the reality of ...

Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...

The GPUs powering today's models carry limited high-bandwidth memory (HBM) before external memory is required—that's the ...

South Korean researchers have successfully developed a core technology that can fundamentally resolve "memory shortages," a ...

The new Cactus AI inference engine allows mobile devices to run local models using 10x less RAM through NPU optimization and ...

During sleep, the human brain sorts through different memories, consolidating important ones while discarding those that don’t matter. What if AI could do the same? Bilt, a company that offers local ...

Running a large language model is expensive, and a surprising amount of that cost comes down to memory, not computation.

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few ...