MathWorks Technical Seminar: AI & Machine Learning in Real-World Systems

Beyond their use in traditional data analytics problems, AI and Machine Learning techniques are changing the way real-world complex systems (like vehicles, airplanes, and even industrial production lines) are designed, tested and fabricated. When building these systems, engineers rely heavily on modeling and computer-assisted simulations. This seminar showcases how MATLAB and Simulink can help integrate AI models into the component and system level simulation stages of the design process, and how they can help deploy the resulting control algorithms into the real-world systems. We will use an example where deep-learning and machine learning can be used to create a Virtual Sensor algorithm. Join us for a complementary seminar to see how this is done! Highlights include:

• Designing and training machine learning components with Statistics and Machine Learning Toolbox
• Designing and training deep learning components with Deep Learning Toolbox
• Importing trained TensorFlow models into MATLAB
• Integrating machine learning and deep learning models into Simulink for system-level simulation
• Generating library-free C code and performing PIL tests
• LSTM Model Compression using projection

This is the first in a 3 part seminar series in partnership with HDSI, JSOE, and SIO for this academic year.

Please note that this is open to all faculty, staff, and students (all grade & majors).

Register Here

*Lunch is included in registration.