IEEE

FPGA dedicated hardware architecture of 3D image reconstruction: Marching cubes algorithm

Abstract: Generally, the implementation of various treatments of medical images, especially the 3D reconstruction, should support a real-time execution of the algorithm on the architecture: It is to ...
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 ...
IEEE

Efficient implementation of randomized quantum algorithms with dynamic circuits

Abstract: Randomized algorithms are crucial subroutines in quantum computing, but the requirement to execute many types of circuits on a real quantum device has been challenging to their extensive ...
GitHub

marching_cubes_poisson.h

static int CornerIndex (const int& x, const int& y, const int& z); static void FactorCornerIndex (const int& idx, int& x, int& y, int& z); static int EdgeIndex (const int& orientation, const int& i, ...
GitHub

Python implementation of the TurboQuant and QJL vector quantization algorithms.

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...