AI Backbone refers to the core computational and data infrastructure that supports the development, training, and deployment of artificial intelligence models at scale. It includes high-performance computing resources, distributed storage systems, data pipelines, and networking frameworks that enable efficient processing of large datasets and model parameters. AI backbones are used in domains such as energy systems, telecommunications, and cloud platforms to support real-time analytics, forecasting, and decision-making.

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Yangmin Ding Presents at the 5th Workshop on Foundation Models of the Electric Grid on March 18th

As AI data centers grow, the fiber-optic networks that connect massive computing clusters become critical infrastructure. This talk explores how Distributed Fiber Optic Sensing (DFOS) can turn communication cables into real-time sensors that detect physical threats and improve cyber-physical resilience.