Refraction—the bending of light as it passes through different media—has long been constrained by physical laws that prevent ...

Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed a groundbreaking tool that allows open-source AI systems to match or surpass the visual ...

Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

It helps bridge the domain gap at the feature level, and improves the model’s robustness and generalization to better address unpredictable variations in the target domain. Second, a pseudo-prototype ...

Classical classification methods often fail in dynamic environments where data distributions shift over time, known as concept drift. Applications like flight delay prediction and weather forecasting ...

Mehdizadeh, F., & Rifai, H. S. (2004). Modeling Point Source Plumes at High Altitudes Using a Modified Gaussian Model. Atmospheric Environment, 38, 821-831.

This work demonstrates a new approach to atmospheric inverse modeling of CO2 emissions using Gaussian Process machine learning and modern probabilistic programming languages.

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