The objective of the presentation is not to focus on mathematical and implementation details, but to help build the intuition necessary to use and analyze the outputs of convolutional neural network ...

This year, Shiyuan Co., Ltd. has newly obtained 290 patent authorizations, a decrease of 40.57% compared to the same period last year. According to the company's mid-2025 financial data, in the first ...

With this bat-inspired technology, the potential to locate more survivors the next time an earthquake or wildfire strikes ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...

A subsequent article, “ Training convolutional neural networks ” discusses how CNN models are trained. Part 3 will examine a specific use case to test the model using a dedicated AI microcontroller.