Conditional neural process

Conditional neural processes (CNPs) are a class of machine learning models designed to efficiently learn distributions over functions, combining the flexibility of neural networks with the data efficiency of Gaussian processes. They provide a framework for rapid adaptation to new tasks by conditioning on observed data.

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UniOcc (unified occupancy prediction)

UniOcc (unified occupancy prediction) is a computational approach designed to estimate and predict occupancy patterns in indoor environments by integrating multiple data sources and using machine learning techniques. It aims to provide accurate, real-time predictions for applications in building management, energy efficiency, and smart environments.

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AlexNet

AlexNet is a pioneering convolutional neural network architecture that significantly advanced image recognition technology. Developed in 2012, it demonstrated the effectiveness of deep learning in large-scale visual tasks.

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