We humans are complex creatures, and nowhere is this clearer than on social media. A veritable buffet of the best and worst of humanity, social media is a cultural ...

Salesforce recently completed an ambitious plan to migrate the Informatica Help system to the Salesforce AgentForce ...

A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Learn why Google’s TurboQuant may mark a major shift in search, from indexing speed to AI-driven relevance and content discovery.

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” [ ...

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...

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