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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:
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).
*Lunch is included in registration.