The technique reduces the memory required to run large language models as context windows grow, a key constraint on AI ...

When standard RAG pipelines retrieve redundant conversational data, long-term AI agents lose coherence and burn tokens.

To move forward, they must stack transistors vertically and power them from within the silicon itself. The boldest experiments in this new “vertical city” are complementary field-effect transistors ...

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...