Abstract: A document management system can include an artificial intelligence-based document manager that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity. For instance, the document management system can apply a machine-learning model to determine how long an expiring agreement document is likely to take to renegotiate and can prompt a user to begin the renegotiation process in advance. The document management system can detect a change to language in a particular clause type and can prompt a user to update other documents that include the clause type to include the change. The document management system can determine a type of a document being worked on and can identify one or more actions that a corresponding user may want to take using a machine-learning model trained on similar documents and similar users.

Abstract: A document management system can include an artificial intelligence-based document manager that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity. For instance, the document management system can apply a machine-learning model to determine how long an expiring agreement document is likely to take to renegotiate and can prompt a user to begin the renegotiation process in advance. The document management system can detect a change to language in a particular clause type and can prompt a user to update other documents that include the clause type to include the change. The document management system can determine a type of a document being worked on and can identify one or more actions that a corresponding user may want to take using a machine-learning model trained on similar documents and similar users.

Abstract: Method, computer program product, and system to prioritize the execution of processing task requests in a task request queue, where the processing task requests are related to an environment. The method includes adding processing task requests to a task request queue in response to the detection of predefined actions in an environment. The method also includes adding additional processing task requests or adjusting a priority level of not yet completed task requests in the task request queue, in response to detecting subsequent predefined actions in the environment.

Abstract: A document management system can include an artificial intelligence-based document manager that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity. For instance, the document management system can apply a machine-learning model to determine how long an expiring agreement document is likely to take to renegotiate and can prompt a user to begin the renegotiation process in advance. The document management system can detect a change to language in a particular clause type and can prompt a user to update other documents that include the clause type to include the change. The document management system can determine a type of a document being worked on and can identify one or more actions that a corresponding user may want to take using a machine-learning model trained on similar documents and similar users.

Abstract: A document management system can include an artificial intelligence-based document manager that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity. For instance, the document management system can apply a machine-learning model to determine how long an expiring agreement document is likely to take to renegotiate and can prompt a user to begin the renegotiation process in advance. The document management system can detect a change to language in a particular clause type and can prompt a user to update other documents that include the clause type to include the change. The document management system can determine a type of a document being worked on and can identify one or more actions that a corresponding user may want to take using a machine-learning model trained on similar documents and similar users.

Abstract: A document management system can include an artificial intelligence-based document manager that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity. For instance, the document management system can apply a machine-learning model to determine how long an expiring agreement document is likely to take to renegotiate and can prompt a user to begin the renegotiation process in advance. The document management system can detect a change to language in a particular clause type and can prompt a user to update other documents that include the clause type to include the change. The document management system can determine a type of a document being worked on and can identify one or more actions that a corresponding user may want to take using a machine-learning model trained on similar documents and similar users.

Abstract: A method, computer program product, and system to perform a sale transaction are provided. The method includes identifying each item of a plurality of items, based on at least one image of the plurality of items, determining a cost for each item, optionally identifying a person based on an image of the person, adding each of the items and each of the costs to a sale transaction, and charging the person for the sale transaction.

Abstract: An energy generation system to generate energy from a fluid flow, the energy generation system including an extendable arm that extends into a fluid flow, a fin connected to one end of the extendable arm and causing, due to the fluid flow, the extendable arm to move from a first orientation within the fluid flow to a second orientation within the fluid flow, and a joint connected to a second end of the extendable arm that couples the extendable arm to an energy generator.

Abstract: Customers are identified as they enter a store and linked to one or more items previously ordered on-line. A route through the store to retrieve the ordered items is generated and sent to the customer's mobile device for display. The customer's movements are tracked as he/she goes through the store to retrieve products, and the location of the customer determined whenever he/she selects a product from the shelves. Based on whether the locations of the customer when he/she selected the products matches the predefined locations of the items ordered on-line, the customer is directed to go to one of an audit station or checkout lane, or alternatively, to bypass both audit station and the checkout lane and exit the store. In the latter case, the customer's account is automatically charged for the total cost of the ordered items.

Abstract: Method, computer program product, and system to provide efficient processing of image data representing an environment comprising a plurality of items available for selection by one or more persons are described. The method includes receiving image data from a plurality of visual sensors, segmenting the image data into a plurality of image segments and classifying the data into predefined image categories. The method also includes identifying an image processing task having a predefined association with the first image category and executing the identified image processing task.

Abstract: A method, computer program product, and system are disclosed for compiling a virtual transaction for a person within an environment having a plurality of items. The method includes acquiring, using at least one visual sensor, first image information including a person. The method further includes identifying the at least one person from the first image information by classifying the person into a class. The method also includes acquiring second image information including the person and an item. The method further includes identifying a behavior of the person relative to the item, and updating, based on the identified behavior, the virtual transaction.

Abstract: Pay stations in a retail store initiate customer transactions for customers. When a first pay station is unable to complete a customer transaction, it hands the transaction off to a second pay station that is able to complete the transaction. During hand off, the first pay station determines a first set of biometric and contextual data associated with the customers and sends that information to the second pay station. The second pay station then determines, independently, a second set of biometric and contextual data associated with the customers and compares it against the first set. Depending on the results of the comparison, customers are either granted or denied access at the second pay station to complete the transaction. Additionally, all biometric and contextual data are permanently destroyed without being saved to memory.

Abstract: A method, computer program product, and system to perform a sale transaction are provided. The method includes identifying each item of a plurality of items, based on at least one image of the plurality of items, determining a cost for each item, optionally identifying a person based on an image of the person, adding each of the items and each of the costs to a sale transaction, and charging the person for the sale transaction.

Abstract: A control server associated with a retail store places or assigns people that are determined to be socially interrelated into corresponding groups. When a group member becomes separated from the group, an image of that person is analyzed and used to identify his/her group. Once identified, the control server generates a notification indicating the current locations in the retail store of both the group and the person who became separated, and indicates a route the person can take through the store to reunite with the group.

Abstract: A method, computer program product, and system to perform a sale transaction are provided. The method includes identifying each item of a plurality of items, based on at least one image of the plurality of items, determining a cost for each item, optionally identifying a person based on an image of the person, adding each of the items and each of the costs to a sale transaction, and charging the person for the sale transaction.

Abstract: Customers are identified as they enter a store and linked to one or more items previously ordered on-line. A route through the store to retrieve the ordered items is generated and sent to the customer's mobile device for display. The customer's movements are tracked as he/she goes through the store to retrieve products, and the location of the customer determined whenever he/she selects a product from the shelves. Based on whether the locations of the customer when he/she selected the products matches the predefined locations of the items ordered on-line, the customer is directed to go to one of an audit station or checkout lane, or alternatively, to bypass both audit station and the checkout lane and exit the store. In the latter case, the customer's account is automatically charged for the total cost of the ordered items.

Abstract: To provide a user with descriptive images for each function performed by a button, the embodiments described herein use a transforming graphical expression that presents different images depending on the particular function the button is currently performing. For example, if the button is used to increase speaker volume, the graphical expression may display plus sign, but if the button is currently being used to navigate through a display menu, the graphical expression may be transformed into an arrow to indicate the direction a selection element in the menu moves if the button is activated. Thus, as the current function of the button changes, the graphical expression presented to the user also changes. In this manner, the same button may be used to perform multiple functions while presenting to a user a customized graphical expression indicating the current function of the button.

Abstract: Method, computer program product, and system to provide an extended vision within an environment having a plurality of items, where the extended vision is based on a field of view of a person determined using a first visual sensor, and is further based on at least a second visual sensor disposed within the environment. Image information from the first and second visual sensors is associated to produce combined image information. Selected portions of the combined image information are displayed based on input provided through a user interface.

Abstract: Method, computer program product, and system to provide efficient processing of image data representing an environment comprising a plurality of items available for selection by one or more persons are described. The method includes receiving image data from a plurality of visual sensors, segmenting the image data into a plurality of image segments and classifying the data into predefined image categories. The method also includes identifying an image processing task having a predefined association with the first image category and executing the identified image processing task.

Abstract: Method, computer program product, and system to prioritize the execution of processing task requests in a task request queue, where the processing task requests are related to an environment. The method includes adding processing task requests to a task request queue in response to the detection of predefined actions in an environment. The method also includes adding additional processing task requests or adjusting a priority level of not yet completed task requests in the task request queue, in response to detecting subsequent predefined actions in the environment.