Abstract: Smart cameras are a widespread technology for image recognition and robotic vision. However, these devices face bandwidth limitations related with the high number of pixels transmitted and ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

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

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...

A production-ready deep learning project for time-series image classification using EfficientNet/NFNet with PyTorch Lightning. This project implements transfer learning for multi-class classification ...