Abstract: The multiple independent processes run in an AI engine on its cloud-based platform. The multiple independent processes are configured as an independent process wrapped in its own container so that multiple instances of the same processes can run simultaneously to scale to handle one or more users to perform actions. The actions to solve AI problems can include 1) running multiple training sessions on two or more AI models at the same time, 2) creating two or more AI models at the same time, 3) running a training session on one or more AI models while creating one or more AI models at the same time, 4) deploying and using two or more trained AI models to do predictions on data from one or more data sources, 5) etc. A service handles scaling by dynamically calling in additional computing devices to load on and run additional instances of one or more of the independent processes as needed.

Abstract: The multiple independent processes run in an AI engine on its cloud-based platform. The multiple independent processes are configured as an independent process wrapped in its own container so that multiple instances of the same processes can run simultaneously to scale to handle one or more users to perform actions. The actions to solve AI problems can include 1) running multiple training sessions on two or more AI models at the same time, 2) creating two or more AI models at the same time, 3) running a training session on one or more AI models while creating one or more AI models at the same time, 4) deploying and using two or more trained AI models to do predictions on data from one or more data sources, 5) etc. A service handles scaling by dynamically calling in additional computing devices to load on and run additional instances of one or more of the independent processes as needed.

Abstract: Among other things, one or more techniques and/or systems are disclosed for creating a three-dimensional model of an image. Image data, comprise a series of images of a location, such as along a route, can be received. The image data can comprise a first image element location for a first image element, where the first image element location may correspond to a three-dimensional point in the image, such as a location in the image with a depth from a point of observation. The first image element can be segmented into a first façade plane using the first image element location. The first façade plane can be merged with a second façade plane, resulting in a three-dimensional model of the image. The second façade plane can comprise a second image element, where the image data comprises a second image element location for the second image element.

Abstract: Among other things, one or more techniques and/or systems are disclosed for creating a three-dimensional model of an image. Image data, comprise a series of images of a location, such as along a route, can be received. The image data can comprise a first image element location for a first image element, where the first image element location may correspond to a three-dimensional point in the image, such as a location in the image with a depth from a point of observation. The first image element can be segmented into a first façade plane using the first image element location. The first façade plane can be merged with a second façade plane, resulting in a three-dimensional model of the image. The second façade plane can comprise a second image element, where the image data comprises a second image element location for the second image element.