New Google TurboQuant algorithm improves vector search speed

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

Why Google’s TurboQuant Algorithm is Disrupting the AI Memory Chip Market

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...
eLife

Long-range neural pathways for octopus chemotactile processing revealed from periphery-to-brain by centimeter-field microCT

In this study, the authors use microCT to image an intact hatchling octopus and segment major organ systems, including the vascular, respiratory, digestive, and nervous systems. The resulting dataset ...

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

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

APiJET Announces Digital Winglets 4D™ Real-Time Flight Optimization Backed by Newly Issued U.S. Patent

Only Patented Solution Providing Deconflicted Optimizations for Lateral, Vertical, Speed and Time Without Hardware or ...
VentureBeat

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...