Machine Learning with Simulink and NVIDIA Jetson

Deep learning and machine learning techniques have the ability to solve complex problems that traditional methods can’t adequately model, such as detecting objects in an image or accurately predicting battery state-of-charge based on current and voltage measurements. While these capabilities by themselves are remarkable, the AI model typically represents only a small piece of the system. Edge and embedded systems are driven by the increasing number, performance, and bandwidth of sensors. This in turn is driving the need for higher performance computing in the systems that integrate and process the sensors, and for software that enables easy and quick deployment.  Explore how to leverage the NVIDIA Jetson™ platform and Simulink^® AI with Model-Based Design approach to make the complexity of such systems more manageable. Learn how to use simulation for adequate testing and enable easy deployment across devices.