As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …

OpenAI has recently released GPT-4 (aka ChatGPT plus), which is demonstrated to be one
small step for generative AI (GAI), but one giant leap for artificial general intelligence (AGI) …

During the last decade, Speech Emotion Recognition (SER) has emerged as an integral
component within Human-computer Interaction (HCI) and other high-end speech processing …

Transfer learning from natural images to medical images has been established as one of the
most practical paradigms in deep learning for medical image analysis. To fit this paradigm …

With the rapid progress in the deep learning technology, it is being used for vibration-based
structural health monitoring. When the vibration is used for extracting features for system …

A convolutional discriminative feature learning method is presented for induction motor fault
diagnosis. The approach firstly utilizes back-propagation (BP)-based neural network to learn …

While perception tasks such as visual object recognition and text understanding play an
important role in human intelligence, subsequent tasks that involve inference, reasoning …

A comprehensive artificial intelligence system needs to not only perceive the environment
with different “senses”(eg, seeing and hearing) but also infer the world's conditional (or even …

Large datasets are necessary for deep learning as the performance of the algorithms used
increases as the size of the dataset increases. Poor data management practices and the low …

Ultrasonic flaw classification in weldment is an active area of research and many artificial
intelligence approaches have been applied to automate this process. However, in the …