Service providers must optimize three compression variables simultaneously: video quality, bitrate efficiency/processing power and latency ...

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 has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...

Lam Research (LRCX) delivered a 321% total return over three years by dominating AI chip production through etch and deposition tools for high-bandwidth memory and advanced logic, with advanced ...

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 ...

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. On March 24, 2026 Amir Zandieh and Vahab Mirrokni from Google Research published an article ...

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 ...

AI has a growing memory problem. Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 paper, TurboQuant is an advanced compression ...

Add Decrypt as your preferred source to see more of our stories on Google. Google said its TurboQuant algorithm can cut a major AI memory bottleneck by at least sixfold with no accuracy loss during ...