Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...

This project implements the Distance Vector routing algorithm to simulate how routers exchange information and compute shortest paths in a network. Each node maintains a routing table and exchanges ...

Under the hood, multiphysics software based on the finite-element (FE) method mathematically models complex engineering and scientific problems in inductive heating, heat transfer, and ...

Abstract: Influence Maximization (IM) is to select a subset of nodes from a social network such that the number of nodes influenced by this subset will be maximized. Due to the growing size of social ...

Have you ever stopped to think about the enormity of the internet, the sheer amount of data packets that are transmitted worldwide every minute, let alone every day? It's a staggering amount, and that ...

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 ...

Abstract: Wireless sensor networks are the combination of enormous number of tiny devices of low price and small size. These Tiny devices are used to recognize the event, gather the data and forward ...