Image Analysis in the Age of AI: Designing Efficient Imaging Workflows

From real-time inspection to quantification, imaging is omnipresent in R&D, engineering, manufacturing, and life sciences — spanning scales, processes, and applications. Driven by advances in high-resolution, high-dimensional imaging technologies and by the implementation of machine learning, image data has become significantly more powerful. Building on the core principles of image processing, how to combine imaging, engineering, and deep learning to design more efficient image analysis workflows that support higher quality control and more effective automation? How can we unlock new opportunities for AI-powered imaging, while addressing related risks and challenges?

Course objectives:

1. Gain insights into cutting-edge imaging techniques and into the latest trends shaping the imaging industry
2. Develop the visual expertise required to capture, process, enhance, and interpret image data
3. Acquire hands-on skills in open-source software and AI models for effective image analysis
4. Explore the opportunities and risks of AI-powered image analysis workflows in industry
5. Learn the best practices in image analysis for industrial and scientific applications

Nongraded

Engineers, technicians, CTOs, R&D consultants, and scientists who use imaging (in engineering, life sciences, manufacturing, etc.), and are seeking to gain skills in image analysis algorithms and AI-based approaches. Pre-requisites: Basic programming knowledge is recommended. Participants should bring their own laptop and be able to install open-source software.