Embedded AI Integration with MATLAB and Simulink

By Dataprix on Mon, 09/09/2024 - 12:43
Data Science
Deep Learning
AI
MATLAB y Simulink

Embedded AI, the integration of artificial intelligence into embedded systems, enables devices to process data and make decisions locally. This technology enhances efficiency, reduces latency, and improves user experience across various industrial and consumer sectors. In this article, we will explore what Embedded AI is, highlight the benefits of using MATLAB and Simulink for Embedded AI, and provide an overview of an upcoming webinar on the topic.

What is Embedded AI?

Embedded AI refers to integrating AI capabilities directly into embedded systems for both signal and vision applications. These systems, found in industries such as automotive, aerospace, and consumer electronics, are designed for specific tasks within larger systems. Embedded systems have real-time computing constraints and are optimized for particular tasks, often with limited resources such as memory and processing power.

Benefits of MATLAB and Simulink for Embedded AI

MATLAB and Simulink offer comprehensive and versatile tools for designing, simulating, testing, verifying, and deploying Embedded AI algorithms. These tools are essential for developing complex systems like quality inspection robots enhanced with deep learning or control systems that use virtual sensors for temperature estimation.

Key Benefits

Some key benefits of using MATLAB and Simulink for Embedded AI include:

  • Simulation and Testing: Integration and evaluation of machine learning models within Simulink systems, with support for processor-in-the-loop (PIL) and hardware-in-the-loop (HIL) testing.
  • Python Integration: Easy import and export of deep learning models between MATLAB, PyTorch, TensorFlow, and ONNX.
  • Code Generation: The ability to generate C/C++ code for CPUs and microcontrollers, CUDA for NVIDIA GPUs, and Verilog/VHDL for FPGAs and SoCs.
  • Verification and Validation: Tools for verifying the robustness of deep neural networks and applying explainable AI techniques in critical industries like automotive and aerospace.

Embedded AI Webinar with MATLAB and Simulink

A webinar on "Embedded AI Integration with MATLAB and Simulink" is scheduled for September 26th, where experts will share strategies for incorporating AI models into Simulink systems and generating deployment-ready code for microcontrollers.

This article provides an overview of how Embedded AI is revolutionizing engineering by empowering devices with advanced local processing and decision-making capabilities.

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