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.

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

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

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 ...

The company has announced the release of a new Gemma 4 model that fills a gap in the lineup that launched earlier this year.

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 ...