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

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

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 ...

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

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 ...

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

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 ...

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 ...

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