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The MathWorks Finance Conference 2022 brings together industry professionals to showcase MathWorks tools in real-world industry use cases and offers practitioner advice through live presentations, Q&A, interactive panel discussions, and in-depth demos.

Deep Learning and Machine Learning are powerful tools to build applications for signals and time-series data across a broad range of industries. These applications range from predictive maintenance and health monitoring to financial portfolio forecasting and advanced driver assistance systems.

MATLAB® and Simulink® with deep learning frameworks, TensorFlow and PyTorch, provide enhanced capabilities for building and training your machine learning models. Via interoperability, you can take full advantage of the MATLAB ecosystem and integrate it with resources developed by the open-source community. You can combine workflows that include data-centric preprocessing, model tuning, model compression, model integration, and automatic code generation with models developed outside of MATLAB.

In this webinar, we will show how MATLAB and Simulink can be used to validate renewable energy models to help address regulatory requirements for commissioning, such as voltage-ride through requirements. As a result of the increasing number of utility-scale solar, wind, and energy storage systems, regulatory requirements have recently been expanded to include many renewable energy installations.

In this webinar, we will perform system-level simulation of a microgrid system to demonstrate system optimization and validation of an industrial-scale distributed control system. The webinar will show how designing with simulation helps minimize time for testing of new safety critical algorithms and improves equipment uptime in the field.

Unmanned aerial vehicles are changing the way we create content, perform land surveys, and move goods. As we develop more and more aerial vehicles, speeding up their development is more crucial. In this session, you will learn how MATLAB is used in UAV development, from component design to AI algorithm development to deployment simulations.

Flying a drone, either manually or autonomously, is a complex task. A drone includes several critical parts such as a chassis or platform, motors and sensors. Learn how to use the Flight Log Analyzer app with UAV Toolbox in MATLAB for analyzing UAV autopilot flight logs by creating a customized series of plots.

Embracing Predictive Maintenance Now for a Better Future: We have something for all engineers and scientists at our first-ever Predictive Maintenance Technical Talk Live 2022, which will feature three (3) technical talks with live demonstrations and hands-on workshops. Participate in our Tech Talk Live to learn everything there is to know about Predictive Maintenance and help us all move forward together!

This series will look at two current trends affecting mining companies: the need to improve energy efficiency in order to reduce carbon emissions, and the growing benefits of autonomous mine operations. You will hear from experts in the field and MathWorks Australia engineers about the innovations and practical frameworks you can use to address these trends in your own operations.