A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations—it's a triumph of your ...

Brain-inspired spiking neural networks bring real-time AI to edge devices, boosting performance, reducing power use, and ...

4. Fault Detection Model Development using AI Faults using sensor data can be detected by artificial intelligence techniques such as machine learning and neural networks. These techniques involve the ...

Deep learning is a subfield of machine learning that focuses on building artificial neural networks that can learn and make predictions from data. These neural networks are modeled after the ...

In the face of inventory management constraints, GNC implemented the Corvus One™ Autonomous Inventory Management System from ...

However, researchers have worked to simplify this task, by capturing nerve signals and allowing deep learning routines ... who had lost a hand to a machine shop accident 17 years prior.

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Radha Khera and Sanhita Chatterjee of Remfry & Sagar explore how fashion brands are deploying AI, blockchain, and legal-tech ...

Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and ...