Scientists from Tokyo Metropolitan University have re-engineered the popular Lattice-Boltzmann Method (LBM) for simulating ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...

Abstract: A wireless sensor network (WSN) uses sensor nodes, which have an integrated processor for managing and monitoring the environment in a certain area. They are connected to the base station ...

Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...

TACO (Topics in Algorithmic COde generation dataset) is a dataset focused on algorithmic code generation, designed to provide a more challenging training dataset and evaluation benchmark for the code ...