Jetson Device

Jetson devices are compact, energy-efficient embedded systems designed to accelerate deep learning applications at the edge. Current research focuses on optimizing their performance for tasks like video-based anomaly detection and natural language processing, employing models such as transformer-based architectures (e.g., XLM-RoBERTa, DeBERTa) and leveraging techniques like Torch-TensorRT for enhanced efficiency. These advancements are significant for deploying AI solutions in resource-constrained environments, impacting fields ranging from robotics and IoT to environmental monitoring and financial analysis. The improved performance and reduced energy consumption of newer Jetson generations demonstrate ongoing progress in edge AI capabilities.