End-to-End AI refers to an artificial intelligence approach in which a model learns to perform an entire task directly from raw input to final output without relying on manually designed intermediate steps or feature extraction. Instead of separating perception, reasoning, and decision-making into distinct modules, an end-to-end system jointly optimizes all stages through a single training process. This can improve efficiency and adaptability but may reduce interpretability and control, as the internal reasoning of the model is not explicitly structured or transparent.
For the first time, we present an end-to-end AI framework for data analysis in distributed fiber optic sensing. The proposed model eliminates the need for optical phase computation and outperforms traditional data processing pipelines, achieving over 96% recognition accuracy on a diverse acoustic dataset.
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NEC Laboratories America, Inc. (NEC Labs) is the US-based center for NEC Corporation’s global network of corporate research laboratories. Our diverse research groups collaborate with industry, academia and governments to provide disruptive solutions to complex problems. A leader in the integration of IT and network technologies with more than 100 years of expertise, NEC provides a combination of products and solutions that cross-utilize the company’s experience and global resources to meet the complex and ever-changing needs of its customers.