{"id":7025,"date":"2024-04-16T14:41:00","date_gmt":"2024-04-16T12:41:00","guid":{"rendered":"https:\/\/blog.rwth-aachen.de\/itc-events\/?post_type=tribe_events&p=7025"},"modified":"2024-05-23T09:50:06","modified_gmt":"2024-05-23T07:50:06","slug":"ai-for-predictive-maintenance","status":"publish","type":"tribe_events","link":"https:\/\/blog.rwth-aachen.de\/itc-events\/event\/ai-for-predictive-maintenance\/","title":{"rendered":"AI for Predictive Maintenance"},"content":{"rendered":"

Der Eintrag ist nur auf English<\/a> verf\u00fcgbar.<\/p>

We are excited to announce the continuation of the successful collaboration between HPC.NRW and MathWorks for the third consecutive year, offering a comprehensive series of four workshops designed to empower researchers, engineers, and scientists. This unique series aims to enhance skills in high-performance computing (HPC), software development for research, and artificial intelligence (AI) with MATLAB.<\/p>\n

Artificial intelligence (AI) is rapidly becoming a critical component of many engineering systems and disciplines today. In the field of predictive maintenance, AI is being used to design and develop smarter ways to perform anomaly detection, identify faults, and estimate remaining useful life of machines. In this forth part of the Parallel Computing with MATLAB series<\/strong> you will write and execute code examples in MATLAB Online \u2013 entirely in the browser \u2013 to learn and explore how to apply principles of AI to predictive maintenance: machine learning, deep learning, feature extraction, and domain-specific data processing.<\/p>\n

Workshop Series<\/h1>\n
    \n
  1. Parallel Computing with MATLAB<\/a><\/li>\n
  2. Parallel Computing with MATLAB on the CLAIX Cluster<\/a><\/li>\n
  3. Introduction to Research Software Development with MATLAB<\/a><\/li>\n
  4. AI for Predictive Maintenance (this course)<\/li>\n<\/ol>\n

    Organization<\/h1>\n