Deep learning has tremendous potential to leverage the massive quantities of data available from remote sensing platforms. At SARLab, we have access to terrabytes of RADARSAT-2 synthetic aperture ...

Previous blogs on deep learning focused on applying techniques to various radar and communications applications. Here we look at labeling the real-world data gathered from a radar, radio, or ...

However, a new approach that incorporates a novel radar technique, better elevation models and machine learning looks set to be a game-changer.

Interested in deep learning for radar? Explore with us how deep learning can optimize radar waveforms under real-world constraints and interference of other emitters. The internship challenges you to ...

Image courtesy of the authors. To accelerate that process, the researchers utilized a multi-scale deep learning algorithm that traced boundaries of snow layers, allowing analysis of snow-covered areas ...

Aptiv is using machine leaning technology to help self-driving cars see objects, even if they're out of sight.

This pilot study introduces a deep-learning model that uses multimodal data from routine clinical practice to predict relapses in early-stage NSCLC. It demonstrates the timely provision of RADAR risk ...

Center for Deep Learning The Center for Deep Learning’s (CDL) mission is to act as a resource for companies seeking to establish or improve access to artificial intelligence (AI) by providing ...