Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

New research suggests that AI memory systems can degrade model performance and encourage sycophantic tendencies.

Companies running large language models face a persistent bottleneck: the memory consumed by key-value caches during inference grows with every token generated, forcing operators to choose between ...

Researchers build fleeting memory transformers with human-like memory decay, proving memory limits help AI learn grammar ...

Imagine having a conversation with someone who remembers every detail about your preferences, past discussions, and even the nuances of your personality. It feels natural, seamless, and, most ...

Microsoft Research’s Mirage stores 3D scene data directly in diffusion latent space, cutting GPU memory 55x and generation ...

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 ...

During Apple’s “Scary Fast” event, one feature caught my eye unlike anything else: Dynamic Caching. Probably like most people watching the presentation, I had one reaction: “How does memory allocation ...