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 ...
Semiconductor Engineering

Balancing Training, Quantization, And Hardware Integration In NPUs

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...
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 ...
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/ # ...
GitHub

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers

VQ-VLA is an innovative vector quantization based action tokenizer built upon the largest-scale action trajectory dataset to date, leveraging over 100 times more data than previous approaches. It ...