TechSource Events

Learn best practices of MATLAB and Simulink products, get answers from domain experts
and network with your peers through our events

Introduction to AI with MATLAB

January 31, 2023

In webinar will be discussing how to incorporate AI into your project by understanding and implementing the steps of the AI workflow. We will show various demos using Machine Learning and Deep Learning techniques and discuss how MATLAB can work with open-source tools for AI projects.

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AI for Agriculture

November 22, 2022

Learn how to use MATLAB for hyperspectral imaging and aerial lidar data processing for terrain classification and vegetation detection in agricultural applications.

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Accelerate Processing Time with Parallel Computing

October 13, 2022

Signal processing and biomedical applications are becoming increasingly complex and computationally intensive. With the increasing adoption of machine learning and deep learning techniques, powerful hardware like multicore CPUs, GPUs, and High-Performance Computing clusters/cloud are common. With Parallel Computing Toolbox™, MATLAB® helps you take advantage of your hardware to speed up your applications without having to rewrite code. High-level constructs such as parallel for-loops, special array types, and parallelized numerical algorithms enable you to parallelize MATLAB® applications without CUDA or MPI programming.

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MathWorks Finance Conference 2022 (Online)

October 11, 2022

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.

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Deep Learning and Machine Learning for Signal Processing Applications

November 15, 2022

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.

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MATLAB with TensorFlow and PyTorch for Deep Learning

November 10, 2022

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.

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Commissioning and Validating Renewable Energy Systems using MATLAB and Simulink

November 2, 2022

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.

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Design and Testing of Energy Management Systems (EMS) for Distributed Power Systems

October 19, 2022

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.

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UAV development using MATLAB and Simulink

October 20, 2022

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.

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