Abstract: A method includes defining, using a first neural network, and based on a plurality of inputs, a first state associated with (1) an entity and (2) a first node from a plurality of nodes included in a reinforcement learning model. The reinforcement learning model determines, based on a reward, (1) a second state associated with a second node and (2) an indication of an action associated with a transition from the first state to the second state. The method also includes generating, using a second neural network, an implementation of the action based on the first state, the second state, and the indication of the action. In response to the implementation of the action being transmitted to the entity, a success metric, determined based on an outcome of the implementation of the action, is received. A third state associated with the entity is determined based on the success metric.

Abstract: A method includes defining, using a first neural network, and based on a plurality of inputs, a first state associated with (1) an entity and (2) a first node from a plurality of nodes included in a reinforcement learning model. The reinforcement learning model determines, based on a reward, (1) a second state associated with a second node and (2) an indication of an action associated with a transition from the first state to the second state. The method also includes generating, using a second neural network, an implementation of the action based on the first state, the second state, and the indication of the action. In response to the implementation of the action being transmitted to the entity, a success metric, determined based on an outcome of the implementation of the action, is received. A third state associated with the entity is determined based on the success metric.

Abstract: A system for 3D and 4D capture comprises a stage including a multi-sided stage frame and frame defining a stage capture volume with a plurality of first sensor modules supported by frame. Each first sensor modules include a module frame with a translucent front panel attached to which is mounted an RGB camera, a depth camera, an IR camera and a microphone, and a back panel attached to the opposite side of the module frame from the front panel, the back panel supporting a lighting array. The stage further comprises a plurality of second sensor modules mounted that include an elongated frame having a translucent elongated front panel attached to said front side of said elongated frame, that supports at least one RGB camera.

Abstract: Offer listings can be classified as accessory offers or product offers using a classification operation performed on a corpus of offers. Data from the classification operation can be used to classify received queries as either product or accessory, and to classify results as products or accessories for purposes of presenting a relevant list of results to a user.

Abstract: Query generation for searchable content is provided. In some embodiments, query generation for searchable content includes receiving searchable content (e.g., the searchable content can include a unique identifier for the searchable content, such as a Uniform Resource Locator (URL) for a web site, and the web site can include one or more web pages); and generating a set of queries, the set of queries including one or more queries (e.g., the set of queries can include ranked queries) that are relevant to the searchable content.

Abstract: Query generation for searchable content is provided. In some embodiments, query generation for searchable content includes receiving searchable content (e.g., the searchable content can include a unique identifier for the searchable content, such as a Uniform Resource Locator (URL) for a web site, and the web site can include one or more web pages); and generating a set of queries, the set of queries including one or more queries (e.g., the set of queries can include ranked queries) that are relevant to the searchable content.

Abstract: Query generation for searchable content is provided. In some embodiments, query generation for searchable content includes receiving searchable content (e.g., the searchable content can include a unique identifier for the searchable content, such as a Uniform Resource Locator (URL) for a web site, and the web site can include one or more web pages); and generating a set of queries, the set of queries including one or more queries (e.g., the set of queries can include ranked queries) that are relevant to the searchable content.

Abstract: Offer listings can be classified as accessory offers or product offers using a classification operation performed on a corpus of offers. Data from the classification operation can be used to classify received queries as either product or accessory, and to classify results as products or accessories for purposes of presenting a relevant list of results to a user.

Abstract: Generating a virtual model of environment in front of a vehicle based on images captured using an image capturing. The Images captured on an image capturing device of a vehicle are processed to extract features of interest. Based on the extracted features, a virtual model of the environment is constructed. The virtual model includes one or more surfaces. Each of the surfaces may be used as a reference surface to attach and move graphical elements generated to implement augmented reality (AR). As the vehicle moves, the graphical elements move as if the graphical elements are affixed to the one of the surfaces. By presenting the graphical elements to move together with real objects in front of the vehicle, a driver perceives the graphical elements as being part of the actual environment and reduces distraction or confusion associated with the graphical elements.

Abstract: Query generation for searchable content is provided. In some embodiments, query generation for searchable content includes receiving searchable content (e.g., the searchable content can include a unique identifier for the searchable content, such as a Uniform Resource Locator (URL) for a web site, and the web site can include one or more web pages); and generating a set of queries, the set of queries including one or more queries (e.g., the set of queries can include ranked queries) that are relevant to the searchable content.

Abstract: Techniques for enhancing content are disclosed. In some embodiments, enhancing content includes automatically identifying a set of modifications to the existing content of a page that would result in the page satisfying a set of search properties and applying at least a subset of the set of modifications to the page. Furthermore, techniques for enhancing link structure are disclosed. In some embodiments, enhancing link structure includes automatically determining a constrained link structure for a set of pages that satisfies a set of one or more constraints and that is at least in part different from an existing link structure of the set of pages and making one or more modifications to the existing link structure to at least in part realize the constrained link structure for the set of pages.

Abstract: Query generation for searchable content is provided. In some embodiments, query generation for searchable content includes receiving searchable content (e.g., the searchable content can include a unique identifier for the searchable content, such as a Uniform Resource Locator (URL) for a web site, and the web site can include one or more web pages); and generating a set of queries, the set of queries including one or more queries (e.g., the set of queries can include ranked queries) that are relevant to the searchable content.

Abstract: Query generation for searchable content is provided. In some embodiments, query generation for searchable content includes receiving searchable content (e.g., the searchable content can include a unique identifier for the searchable content, such as a Uniform Resource Locator (URL) for a web site, and the web site can include one or more web pages); and generating a set of queries, the set of queries including one or more queries (e.g., the set of queries can include ranked queries) that are relevant to the searchable content.

Abstract: Query generation for searchable content is provided. In some embodiments, query generation for searchable content includes receiving searchable content (e.g., the searchable content can include a unique identifier for the searchable content, such as a Uniform Resource Locator (URL) for a web site, and the web site can include one or more web pages); and generating a set of queries, the set of queries including one or more queries (e.g., the set of queries can include ranked queries) that are relevant to the searchable content.

Abstract: Generating a virtual model of environment in front of a vehicle based on images captured using an image capturing. The Images captured on an image capturing device of a vehicle are processed to extract features of interest. Based on the extracted features, a virtual model of the environment is constructed. The virtual model includes one or more surfaces. Each of the surfaces may be used as a reference surface to attach and move graphical elements generated to implement augmented reality (AR). As the vehicle moves, the graphical elements move as if the graphical elements are affixed to the one of the surfaces. By presenting the graphical elements to move together with real objects in front of the vehicle, a driver perceives the graphical elements as being part of the actual environment and reduces distraction or confusion associated with the graphical elements.

Abstract: Offer listings can be classified as accessory offers or product offers using a classification operation performed on a corpus of offers. Data from the classification operation can be used to classify received queries as either product or accessory, and to classify results as products or accessories for purposes of presenting a relevant list of results to a user.