UTS Tech Festival (June 20 – July 01, 2022 )is a two weeks festival of events, showcases, hackathons, workshops, masterclasses, seminars, competitions, industry-student engagement and much more! Our goal is to bring together students, academics and industry to foster learning, inspiration, share ideas and promote innovation.

We’re excited to welcome you to our campus for the Seminar on MATLAB for AIwhich is part of the UTS Tech Festival 2022!

About:

This 4-part seminar will show you with real-world examples how MATLAB makes AI easy and accessible with tools such as interactive apps generating MATLAB code. MATLAB provides AI capabilities similar to those of dedicated AI tools like Caffe and TensorFlow—and more importantly, only MATLAB lets you integrate AI into the complete workflow for developing a fully engineered system, from data preparation to deployment. Finally, MATLAB provides a flexible, two-way integration with many programming languages, including Python, and supports importing and exporting open source deep learning frameworks with the ONNX format.

Agenda:

Part 1: Machine Learning for image classification
Part 2: Deep Learning for image classification and object detection
Part 3: Interoperability with Open Source
Part 4: Reinforcement Learning

Highlights:

Generate MATLAB code using Apps comparing different machine learning methods
Graphically create, edit, and train Deep Learning models
Use labeller apps to automate your data labelling workflow
Deploy your models to production in a variety of formats
Call Python from MATLAB, call MATLAB from Python, and generate Python libraries from MATLAB functions
Use TensorFlow Keras Model importer and ONNX for Deep Learning interoperability
Build environment simulations with Simulink for Reinforcement Learning applications

Date, Location, Venue:

Date: Thursday, June 30, 2022,
Time : 9.30am-12.30pm
Venue: Building 11, Level 00, Room: 401, UTS City Campus.Ddetails will be available on the confirmation email as well.

Presenter:

Dr Emmanuel Blanchard is a senior application engineer at MathWorks who first joined the company as a training engineer in 2014. His main focus is on data analytics, which includes machine learning and deep learning. He taught several MATLAB and Simulink courses as well as specialized topics such as machine learning, statistics, optimization, image processing and parallel computing. Prior to joining MathWorks, he was a Lecturer in Mechatronic Engineering at the University of Wollongong. He holds a PhD in Mechanical Engineering from Virginia Tech. He also worked as a Systems / Controls Engineer at Cummins Engine Company and as a research assistant in several research institutions in California and Virginia.

Organizers:

Intelligent Drone Lab (iDL), Australian Artificial Intelligence Institute (AAII), and Faculty of Engineering and IT.

Question?

For inquiries please contact us at : Nabin.Sharma@uts.edu.au