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

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

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

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

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

For most investors, how much a stock's price changes over time is important. Not only can it impact your investment portfolio, but it can also help you compare investment results across sectors and ...

Java has endured radical transformations in the technology landscape and many threats to its prominence. What makes this ...

The current OpenJDK 26 is strategically important and not only brings exciting innovations but also eliminates legacy issues ...

Google senior AI product manager Shubham Saboo has turned one of the thorniest problems in agent design into an open-source engineering exercise: persistent memory. This week, he published an ...

This podcast explores updates to the Pointer Ownership Model for C, a modeling framework designed to improve the ability of developers to statically analyze C programs for errors involving temporal ...

Imagine comparing Anne Frank to a murderer. Imagine comparing the best-known victim of the savagery that Nazi Germany visited upon Europe to burglars, drug dealers and gang members. Surely no one has ...