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TechSource Events

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

Aerospace & Defence Forum part 1: Modelling & Simulation, AI and Cloud

February 24, 2023

The need for advanced civil and defense systems has been brought into sharp focus. In civil, the drive for zero climate impact is driving development of advanced propulsion, autonomous systems, and urban...

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Anomaly Detection using Image Processing and Deep Learning

December 7, 2022

This session demonstrates an end-to-end MATLAB workflow for developing anomaly detection models in the context of a pill production quality control data set comprising a large collection of images. The objective is to verify the quality of pills using automated visual inspection techniques.

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Batch Process Optimization with MATLAB

December 6, 2022

This presentation considers the alternative construction of the design space based on experiment data and a grey-box model of the reactions. The models are subsequently used to optimize the production process by changing the process variables. In addition, the effect of uncertainty and variability of the parameters on the process performance is also examined with a Monte-Carlo simulation.

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Design and Simulate Scenarios for Automated Driving Applications

December 15, 2022

You will learn how to author scenarios for simulation on realistic road networks designed in RoadRunner. You can use this workflow to simulate autonomous driving with built-in agents as well as author and integrate custom agents designed in MATLAB, Simulink, or CARLA. The scenarios can be exported to OpenSCENARIO for simulation and analysis in external tools if desired.

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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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