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 ...

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

ZetaChain launched Anuma, its first consumer AI product: the private AI that remembers, with one encrypted memory across ...

Apple's AFM 3 Core Advanced stores 20B parameters in NAND flash rather than DRAM — a new on-device option for enterprises ...

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.

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 ...

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 ...