MathWorks Joins Edge AI Foundation

MathWorks has joined the EDGE AI FOUNDATION, an organization focused on advancing energy-efficient AI technologies for edge devices. By working with the organization’s global network of supporters, MathWorks will help engineers use its software platforms, MATLAB and Simulink, to train, integrate, and deploy AI models to embedded devices and validate performance through system-level simulation.

“MathWorks joining the EDGE AI FOUNDATION strengthens our shared mission to make edge AI more accessible,” says Pete Bernard, executive director of EDGE AI FOUNDATION. “As a recognized leader in embedded AI for engineered systems, MathWorks brings proven capabilities for AI model integration, system-level simulation, and optimized code generation. These contributions will be invaluable to our community as we work together to accelerate advancements in edge AI.” 

MATLAB and Simulink deliver an end-to-end workflow for Embedded AI, enabling engineers to train, integrate, and deploy AI models efficiently, according to MathWorks. Key capabilities include system-level simulation to validate behavior before deployment, multi-target deployment of optimized C/C++, CUDA, and HDL code from the same Simulink model, and compression techniques for resource-constrained devices.

The workflow also supports verification and validation (V&V) for safety- and mission-critical systems, multi-framework integration with MATLAB, PyTorch, TensorFlow, ONNX, and XGBoost, and low-code apps that allow engineers to train AI models without deep expertise, according to MathWorks.

MathWorks software enables engineers across industries to design and test embedded AI applications. In automotive, engineers use MATLAB and Simulink to create virtual sensors—such as estimating battery state of charge or motor temperature—and deploy them on microcontrollers for real-time performance in resource-constrained environments. In aerospace, teams develop anomaly detection and predictive maintenance algorithms that can be deployed on FPGAs to meet stringent latency and safety requirements in flight-critical systems. In industrial automation, engineers use MATLAB and Simulink to develop defect detection algorithms for visual inspection applications, deploying them on embedded GPUs to ensure high-speed, accurate quality control.

“Joining the EDGE AI FOUNDATION is a natural extension of our commitment to empowering engineers and scientists to innovate in AI, machine learning, and edge computing,” says Lucas Garcia, product manager, AI, MathWorks. “Our workflow enables teams to validate AI models developed in MATLAB and PyTorch through full-system simulation, optimize them for tight compute and memory constraints, and deploy across a wide spectrum of embedded hardware platforms.”

Engineers interested in learning more about how they can use MATLAB and Simulink to design, simulate, test, verify, and deploy AI algorithms that enhance the performance and functionality of complex embedded systems should visit mathworks.com/solutions/embedded-ai.

About the EDGE AI FOUNDATION

The EDGE AI FOUNDATION (formerly tinyML Foundation) is a global nonprofit community of innovation, collaboration, advocacy, and education for scalable edge AI technologies. 

Sources: Press materials received from the company and additional information gleaned from the company’s website.