A Data Anchor is a reference point used to align, synchronize, or validate datasets across systems and modalities. In AI pipelines, data anchors help maintain consistency between training, testing, and deployment environments. They are also critical in multimodal learning, where information from different sensors or formats must be correlated accurately. NEC Laboratories America investigates data anchoring strategies for reliable perception and decision-making. Such methods improve reproducibility, fairness, and accountability in AI systems.
We introduce anchor vectors to monitor Rayleigh-backscattering variability in a fiber-optic computing system that performs nonlinear random projection for image classification. With a ~0.4-s calibration interval, system stability can be maintained with a linear decoder, achieving an average accuracy of 80%-90%.
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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.