This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Abstract: The rapid growth of machine learning (ML) technologies has raised significant concerns about their environmental impact, particularly regarding energy consumption and carbon emissions. This ...

What happens when intelligence moves off the cloud and onto the device? Edge AI Studio cuts latency, improves performance, ...

Abstract: Undoubtedly, machine learning (ML) has demonstrated a wealth of far-reaching successes present both at the level of fundamental developments, design methodologies and numerous application ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...