You can now download Gemma 4 models with quantization-aware training to reduce the amount of mobile memory required to 1GB.

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

Apple’s Mac Studio memory limits may narrow its AI workstation pitch as buyers weigh 96GB configurations against local AI, privacy, and serving needs.

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 ...

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

In the fast-paced world of artificial intelligence, memory is crucial to how AI models interact with users. Imagine talking to a friend who forgets the middle of your conversation—it would be ...

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 ...

Over the last few decades, psychologists have developed precise quantitative models of human recall performance in visual working memory (VWM) tasks. However, these models are tailored to a particular ...

As humans and machine learning systems often face similar computational challenges 1, there has been synergy between machine learning and cognitive science research, leveraging machine learning ...

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 ...