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 ...
WinBuzzer

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

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

Google’s new compression algorithm cut memory stocks within hours of publication

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...
IEEE

Beampattern Design Using Riemannian Manifold for Frequency Diverse Array Considering Jammers

Abstract: This article investigates a 2-D range–angle beampattern synthesis method for jammer suppression using a frequency diverse array (FDA)–multiple-input multiple-output (MIMO) framework, where ...
IEEE

Sparse Array Synthesis of Phased Array Radar Using ADMM Algorithm

Abstract: A sparse array synthesis algorithm for phased array scanning radar using reweighted $L 1$-norm minimization approach is proposed in this paper. The ...