Here are four compelling reasons to use AI in simulation and model-based design:
1️⃣ Improved Accuracy: Boost algorithm precision by training it with high-quality data, developing robust AI algorithms.
2️⃣ Complexity Control: Replace computationally complex or hard-to-model algorithms with AI, simplifying your design process.
3️⃣ Time Savings: Create reduced-order models using AI, saving significant development and simulation time compared to high-fidelity models.
4️⃣ Seamless Integration: Integrate AI models developed in open-source frameworks or MATLAB into system-level designs with Simulink.
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