Attend this MathWorks seminar about AI with MATLAB, April 13

Artificial intelligence, or AI, is quickly becoming embedded in everyday applications. It’s becoming essential for students and educators to adopt this technology to solve complex real-world problems. MATLAB and Simulink provide a flexible and powerful platform to develop and automate data analysis, deep learning, AI and simulation workflows in a wide range of domains and industries.

In this workshop, we will introduce deep learning with MATLAB. We will utilize a previously trained network and modify it, using the MATLAB Deep Network Designer. The Deep Network Designer allows you to interactively build, visualize and train neural networks. Individuals can generate the code for the neural network and finetune parameters. Users can use popular pre-trained networks or construct their own. We will also look at the MATLAB Classification Learner to run several models on a single data set. These visual approaches create a more efficient workflow.

Jon Loftin is a customer success engineer at MathWorks and a Texas Tech Alumni. Jon’s background is in mathematics. More specifically, implementing mathematics in a computer. He holds degrees in mathematics: a BS from Southern Arkansas University, an MS from the University of Arkansas and a PhD from Texas Tech University. He has had years of teaching experience, from teaching at the Naval Nuclear Power School to teaching as an assistant professor. Jon’s research focus is building efficient integration techniques in finite element methods.

Food and merch provided!

Cohosts: Institute of Electrical and Electronics Engineers, or IEEE, ASU Student Branch and IEEE Education Society Phoenix Chapter.

For more information, contact [email protected] and [email protected].

MathWorks AI with MATLAB seminar with Jon Loftin
Monday, April 13, 2026
5–7 p.m.
Bateman Physical Sciences Center H (PSH) 152, Tempe campus [map]