Abstract: Communication cost is a main challenge in Federated Learning (FL). Gradient sparsification is one of the effective ways to reduce communication data volumes by allowing clients to send only ...

Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...

Google's new TurboQuant algorithm drastically cuts AI model memory needs, impacting memory chip stocks like SK Hynix and Kioxia. This innovation targets the AI's 'memory' cache, compressing it ...

Google has unveiled TurboQuant, a new AI compression algorithm that can reduce the RAM requirements for large language models by 6x. By optimizing how AI stores data through a method called ...

We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way ...

New Google technology reduces the memory requirements of AI models. Investors were worried about slowing memory demand, but it's too early to make that call. That sparked fears among Sandisk investors ...

Google's (GOOG)(GOOGL) TurboQuant, a compression algorithm that optimally addresses the challenge of memory overhead in vector quantization, will likely lead to the usage of more intensive AI ...

The internet is saying Google Research developed Pied Piper. Anyone familiar with the popular HBO series, Silicon Valley, will know the fictional company in the show develops an industry-leading ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. The algorithms introduced by Google ...