CS4326 AI on the Edge: Enabling Physical Intelligence
This course covers advanced concepts and practical implementations of artificial intelligence on edge-computing devices in support of naval-mission objectives. It covers both theoretical foundations and practical applications of AI at the edge, including hardware-acceleration techniques, model optimization, and deployment strategies. Students will learn about edge AI technologies including computer vision, natural-language processing, federated learning, autonomous robotics, intelligent networking, and generative AI models specifically designed for resource-constrained environments. This course builds on core AI and ML fundamentals to develop practical skills in deploying intelligent systems in the field using contemporary hardware (e.g., NVIDIA Jetson) and popular frameworks and tools (e.g., TensorFlow Lite/PyTorch, ONNX, and ROS).
Prerequisite
None
Lecture Hours
3
Lab Hours
1