Nanowerk

Stacked memristor arrays compute Euclidean distance in memory to accelerate self-organizing maps

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
InfoWorld

Edge AI: The future of AI inference is smarter local compute

Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...
IEEE

SQ-GAN: Semantic Image Communications Using Masked Vector Quantization

Abstract: This work introduces Semantically Masked Vector Quantized Generative Adversarial Network (SQ-GAN), a novel approach integrating semantically driven image coding and vector quantization to ...
Investopedia

What Is Variance in Statistics? Definition, Formula, and Example

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
GitHub

Vector Search using Embeddings, FAISS and Product Quantization

This project implements an efficient similarity search system for lecture content using embeddings, FAISS and Product Quantization with custom index & KMeans implementations. It allows you to find ...
IEEE

DCU: A New Dynamic Codebook Update Improvement on the Vector Quantization Model

Abstract: Vector quantization-based image semantic communication systems have successfully boosted transmission efficiency. However, existing models like Vector Quantized Variational Autoencoder 2 ...
GitHub

FactorVQVAE: Discrete latent factor model via Vector Quantized Variational Autoencoder

FactorVQVAE-General/ ├── configs/ # Model configuration files ├── data/ # Dataset classes and Chinese stock data ├── module/ # Core model implementations ├── trainer/ # Training modules ├── utils/ # ...