An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

A team at the University of Florida has developed a new kind of computer chip that uses light with electricity to perform one ...

The AI revolution continuously requires new tools and methods to take full advantage of its promise, especially when dealing with imaging data beyond visible wavelengths of the electromagnetic ...

In the field of power operation and maintenance, bird nests on utility poles have always been a potential safety hazard. If ...

“Over the past decade, deep-learning-based representations have demonstrated remarkable performance in academia and industry. The learning capability of convolutional neural networks (CNNs) originates ...

As artificial intelligence technology accelerates its penetration into various industries, Convolutional Neural Networks (CNN ...

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...

What is a Convolutional Neural Network (CNN)? CNNs, short for Convolutional Neural Networks, are deep learning tools built to analyse visual data such as photos and graphics. It is a brain-inspired ...

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...

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