GDS Short Course: Deep Learning for Image Processing Applications

Artificial Intelligence (AI) is a collection of advanced technologies and mathematical methodologies that allows machines to think and act through sensing, comprehending, acting, and learning. This half-century-old field of research has recently garnered renewed attention, partly by several breakthroughs in the design of new AI algorithms, in particular, for image analysis, but also because of the new computing technologies that make the calibration of AI models feasible on personal computers, thus allowing their wide-spread usage by individual researchers in diverse fields of science and engineering. This hands-on workshop will be investigating how deep learning techniques for image analysis can be adapted or developed to address topics and challenges in image analysis and material science. Some of these topics are hyperspectral data analysis in imaging, deep learning applications in active imaging (denoising,drift correction, and deep-learning-based feature extraction), materials discovery, and learning physics from imaging data of mesoscopic and stochastic systems.