Microsoft Technology Licensing, LLC

Jett Evan Jones

Matthew Haigh

Shane Arney

Chetan Desh

Sandeep Kanumuri

Matthew James Brown

Jonathan Paul Rosenberg

Keen McEwan Browne

Mark Hammond

Samuel Thomas Williams

Ruofan Kong

Don Dongwoo Kim

Peter G Sibley

An artificial intelligence ('AI') engine having multiple independent processes on one or more computing platforms is disclosed, where the one or more computing platforms are located on premises of an organization such that i) the one or more computing platforms are configurable for one or more users in the organization having at least administrative rights on the one or more computing platforms in order to configure hardware components thereof to execute and load the multiple independent processes of the AI engine; ii) the one or more users of the organization are able to physically access the one or more computing platforms; and iii) the hardware components of the one or more computing platforms are connected to each other through a Local Area Network (LAN), and the LAN is configurable such that the one or more users in the organization have a right to control an operation of the LAN.

Installation and operation of different processes of an AI engine adapted to different configurations of hardware located on-premises and in hybrid environments

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.

Artificial intelligence engine having multiple independent processes on a cloud based platform configured to scale

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 fa&#xe7;ade plane using the first image element location. The first fa&#xe7;ade plane can be merged with a second fa&#xe7;ade plane, resulting in a three-dimensional model of the image. The second fa&#xe7;ade plane can comprise a second image element, where the image data comprises a second image element location for the second image element.

Image three-dimensional (3D) modeling

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Jett Evan Jones