10 things I learned from burning myself out with AI coding agents

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
Analytics Insight

Best Deep Learning Books to Read in 2026

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

An Attention-Based Convolutional Neural Network With Spatial Transformer Module for Automated Optical Inspection of Small Objects

Abstract: In the manufacturing industry, automated optical inspection (AOI) systems play a crucial role in accurate and efficient inspection. Recently, convolutional neural networks (CNNs) have become ...
IEEE

Convolutional Neural Networks for Direction of Arrival Estimation Compared to Classical Estimators and Bounds

Abstract: Recently, there has been a proliferation of applied machine learning (ML) research, including the use of convolutional neural networks (CNNs) for direction of arrival (DoA) estimation. With ...
GitHub

Block or report DongZhilin123

This is a case of bearing fault intelligent diagnosis. The program is written in MATLAB. The main techniques used are feature detection and neural network. This code comes from the undergraduate co… ...