Uploaded July 2026 | Updated September 2026, 2 weeks ago
Design embedded AI systems using MATLAB and Simulink, covering the complete workflow from data preparation and model development to deployment on resource-constrained hardware. Engineers will learn how to integrate deep learning algorithms into engineered systems while addressing constraints such as latency, memory usage, and real-time performance.
The process begins with preparing and labeling data, followed by training and evaluating models using tools for signal processing, computer vision, and deep learning. Model-Based Design enables integration of trained models into system-level simulations, where algorithms can be validated alongside plant models and control logic. This approach helps identify performance issues early and supports iterative refinement before deployment.
The workflow continues with code generation for embedded targets, enabling efficient deployment on CPUs, GPUs, and edge devices. Optimization techniques such as quantization and code generation support reduced model size and improved execution speed, helping meet hardware constraints. Validation on the target hardware ensures that models perform reliably under real-world conditions.
Engineers gain insight into building production-ready embedded AI systems using a unified toolchain. MATLAB and Simulink support each stage of the workflow, reducing the complexity of moving from algorithm development to deployment. Common applications include autonomous systems, industrial automation, and intelligent edge devices, where reliability, efficiency, and integration with existing systems are key requirements.
Related resources:
- Explore embedded AI workflows with MATLAB and Simulink: bit.ly/4g21mIh
- Get started with deep learning in MATLAB: bit.ly/2Dl0jm4
- Explore code generation for embedded systems: bit.ly/3Sy1ZQ2
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Get a free product trial: goo.gl/ZHFb5u
Learn more about MATLAB: goo.gl/8QV7ZZ
Learn more about Simulink: goo.gl/nqnbLe
See what's new in MATLAB and Simulink: goo.gl/pgGtod
© 2026 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
Design embedded AI systems using MATLAB and Simulink, covering the complete workflow from data preparation and model development to deployment on resource-constrained hardware. Engineers will learn how to integrate deep learning algorithms into engineered systems while addressing constraints such as latency, memory usage, and real-time performance.
The process begins with preparing and labeling data, followed by training and evaluating models using tools for signal processing, computer vision, and deep learning. Model-Based Design enables integration of trained models into system-level simulations, where algorithms can be validated alongside plant models and control logic. This approach helps identify performance issues early and supports iterative refinement before deployment.
The workflow continues with code generation for embedded targets, enabling efficient deployment on CPUs, GPUs, and edge devices. Optimization techniques such as quantization and code generation support reduced model size and improved execution speed, helping meet hardware constraints. Validation on the target hardware ensures that models perform reliably under real-world conditions.
Engineers gain insight into building production-ready embedded AI systems using a unified toolchain. MATLAB and Simulink support each stage of the workflow, reducing the complexity of moving from algorithm development to deployment. Common applications include autonomous systems, industrial automation, and intelligent edge devices, where reliability, efficiency, and integration with existing systems are key requirements.
Related resources:
- Explore embedded AI workflows with MATLAB and Simulink: bit.ly/4g21mIh
- Get started with deep learning in MATLAB: bit.ly/2Dl0jm4
- Explore code generation for embedded systems: bit.ly/3Sy1ZQ2
--------------------------------------------------------------------------------------------------------
Get a free product trial: goo.gl/ZHFb5u
Learn more about MATLAB: goo.gl/8QV7ZZ
Learn more about Simulink: goo.gl/nqnbLe
See what's new in MATLAB and Simulink: goo.gl/pgGtod
© 2026 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
