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AI/ML for EDA
Artificial Intelligence (AI) and Machine Learning (ML) for Electronic Design Automation (EDA) – Your Innovation, Unbound
As we strive for greater engineering productivity, faster time to market, and optimized decision making from a sea of data – Artificial Intelligence (AI) and Machine Learning (ML) provide exciting new tools to accelerate the engineering lifecycle.
Keysight EDA unlocks
AI/ML to solve real world design challenges today.
- Connected Design – PathWave Advanced Design System (ADS) connects to your AI/ML modeling frameworks (such as PyTorch) through Python APIs.
- Simulation Models – Train Artificial Neural Network (ANN) models from multidimensional data for ultra-fast explorations and modeling versatility in ADS circuit simulations.
- Channel Modeling – Channel Modeling for pre-6G system simulations.
- Eye Diagram Estimation – Worst-case eye diagram estimation.
- Device Modeling – ANN modeling is built natively into PathWave Device Modeling (IC-CAP) for advanced modeling of GaN devices with memory effects.
Using AI to Create a Simulation Model
Part 1: Artificial Neural Network (ANN) Model Extraction
Part 2: Adapting a Model to an RF Simulation
Part 3: Using a Model for Advanced Emulation
Connecting to Industry Leading AI/ML Frameworks
TensorFlow open-source software library for AI/ML
PyTorch machine learning framework
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