Electropages

Quantum circuit simulation is the first with frequency-domain flux quantisation

Keysight Technologies, Inc. has introduced Quantum Circuit Simulation (Quantum Ckt Sim), an innovative circuit design environment that speeds up the development of intricate quantum circuits. In ...
GitHub

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Thanks to AWQ, TinyChat can deliver more efficient responses with LLM/VLM chatbots through 4-bit inference. TinyChat with LLaMA-3-8b on RTX 4090 (2.7x faster than FP16): TinyChat with LLaMA-3-8b on ...
marktechpost

This AI Research Introduces Atom: A Low-Bit Quantization Technique for Efficient and Accurate Large Language Model (LLM) Serving

Large Language Models are the most recent introduction in the Artificial Intelligence community, which has taken the world by storm. These models, due to their incredible capabilities, are being used ...
GitHub

Vector-Quantisation-for-Robust-Segmentation

This repo contains the code for training models with an autoencoder structure with a Vector Quantisation Blocks inserted into the bottleneck. This codebase contains training and model code for the ...
Nature

Vector Quantization and Learning Algorithms

Vector quantisation and its associated learning algorithms form an essential framework within modern machine learning, providing interpretable and computationally efficient methods for data ...
Nature

Quantisation across bubble walls and friction

The Nature Index 2024 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
IEEE

Quantisation-aware Dimensionality Reduction

Abstract: Typical data analysis systems involving FPGAs work better with low-dimensional low-precision (LDLP) data than with high-dimensional high-precision (HDHP) ones due to limitations on data ...