A Prototype to Production Pipeline with Julia
Matthew Adams
Industrial digital twin solutions require data from both engineering and operations. This typically means combining engineering simulations and operational sensor data using AI/ML. This landscape is growing with frameworks like TensorFlow and PyTorch enabling rapid prototyping in high-level languages like Python. We present a pipeline for prototyping solutions in the Julia language for production speed and performance in the Ansys TwinAI product.
Cathedral of Learning Room 324