Companies running large language models face a persistent bottleneck: the memory consumed by key-value caches during ...

Stanford research finds AI models agree with users 49% more than humans, while memory mismanagement causes up to 39% performance drops across 15 major LLMs.

Memory consistency models sit at the heart of concurrent programming systems, defining the set of permissible behaviours when multiple threads interact via shared memory. These models span from the ...

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason more deeply without increasing their size or energy use. The work, ...

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 ...

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a ...

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

Apple CEO Tim Cook warns that skyrocketing memory chip costs have made consumer price increases "unavoidable." ...

Alzheimer’s Disease (AD), the leading cause of dementia, affects nearly 40 million individuals globally, resulting in a gradual loss of memory and independence. Despite extensive research over the ...