Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

The idea of these so-called perception-driven systems is to interpret raw sensor data and convert it into actionable understanding. So, they capture the images as traditional machine vision would, but ...

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.

Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Fangfang Li received the BEng degree in electronic information engineering from the Taiyuan University of Science and Technology, Taiyuan, China, in 2022. She is currently working toward the PhD ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A common desire in nanoscience is to describe the size and morphology of nanoparticles ...

Introduction: Deep learning has significantly advanced medical image analysis, enabling precise feature extraction and pattern recognition. However, its application in computational material science ...

With the rapid development of the “Internet + Medical” model, artificial intelligence technology has been widely used in the analysis of medical images. Among them, the technology of using deep ...