A nanophotonic diffractive network performs morphological image processing, including dilation and erosion, purely through light propagation.

Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...

As you explore how to create new opportunities with AI, it’s crucial to first take a close look at your data architecture.

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...

UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...

Earn an Online Signal and Image Processing Certificate. Be at the Forefront of Cutting-Edge Technology. When that autonomous vehicle recognizes traffic signals, reads lane markings, detects obstacles, ...

Dr. James McCaffrey of Microsoft Research demonstrates how to fetch and prepare MNIST data for image recognition machine learning problems. Many machine learning problems fall into one of three ...