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Explore cutting-edge advancements in image processing and how these techniques are transforming various industries.

Discover how our interactive tools can expedite preprocessing, analysis, and information extraction, all while automatically generating functions within applications for seamless signal management

Learn how to leverage MATLAB for AI applications across Downstream, Midstream and Upstream operations.

In this workshop, you will learn about the Model-Based Design workflow using HLS block set of Model Composer, how to set up the Simulink model using blocks from HLS library, and do automatic code generation.

Learn how you can analyze and model data using interactive tools in MATLAB. Through live demonstrations and examples, you will see how you can solve many steps in a data analysis workflow without writing...

Artificial Intelligence, particularly deep learning, is revolutionizing automation and business processes. It excels in solving intricate challenges related to images, signals, text, and controls, delivering human-like accuracy in tasks such as object recognition and path optimization. However, it involves assembling vast datasets, building neural networks, training and evaluating models, often requiring specialized hardware and complex theoretical understanding.

In this workshop, you will learn about the Model-Based Design workflow using HLS block set of Model Composer, how to set up the Simulink model using blocks from HLS library, and do automatic code generation.

In this workshop, you will learn about the Versal™ adaptive SoC and the architecture of the AI Engine, the various interfaces available in the AI Engine tile, Versal AI Engine Tool Flow and Vitis Model Composer for AI Engine Design.

Join us for a hands-on workshop session where we will demonstrate the workflows offered by MATLAB and Simulink. From data-driven, AI-based solutions to technical and rigorous physics-based simulations, you will gain valuable insights and practical knowledge. This workshop is suitable for anyone who are interested in learning about the workflow for developing Predictive Maintenance (PdM) Algorithms with MATLAB and Simulink.