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Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.
Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.
Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.
Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.