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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