Info

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.

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 you will write and execute code examples in MATLAB Online – entirely in the browser – to learn and explore how to apply principles of AI to predictive maintenance: machine learning, deep learning, feature extraction, and domain-specific data processing. 

Workshop Series

  1. Parallel Computing with MATLAB
  2. Parallel Computing with MATLAB on the CLAIX Cluster
  3. Introduction to Research Software Development with MATLAB
  4. AI for Predictive Maintenance (this course)

Organization

  • There is no seminar fee.
  • Presentations will be given in English. Slides will be available after the event.
  • This is an online event and will be held in Zoom. Links are sent to registered attendees after registration.
  • You can/must register per topic, i.e., for each workshop separately.

Speaker

  • Dr. Thomas Künzel (MathWorks)

Course level

  • Beginner to intermediate

Target audience

  • Students, researchers and scientists with increasing computational demands

Prerequisites

  • Basic MATLAB familiarity (If you feel insecure, we recommend completing the self-pace online course MATLAB Onramp (ca. 2 hours) before the workshop)
  • Your MathWorks-Account

Gained skills

  • Understanding of the philosophy of MATLABs parallel computing language
  • Apply MATLABs high-level parallel computing language constructs
  • Knowledge of how to use NVIDIA GPUs for computation in MATLAB
  • Running synchronous and asynchronous parallel computations with MATLAB
  • Solving Big-Data problems with MATLAB

Course material