New Google TurboQuant algorithm improves vector search speed

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

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

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

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 ...
Infosecurity Magazine

Are Rainbow Tables Still Relevant in 2026?

Specops outlines the strong defenses organizations need today, from salted hashing and MFA to compromised password screening, ...
STAT

This series, a Pulitzer Prize finalist for investigative reporting, highlights the dangers of AI use in medicine

Casey Ross and Bob Herman’s reporting exposes how UnitedHealth Group used an unregulated algorithm to override clinicians’ judgment and deny care to seriously ill older and disabled patients. The ...