Abstract: By analyzing activity monitoring data, a task pattern comprising a set of one or more tasks is derived. The task pattern is identified as a candidate task pattern responsive to determining that a completion variability in the task pattern is above a threshold amount. By analyzing performance data of a system used in performing the candidate task pattern, an optimum time at which to perform the candidate task pattern is identified. Responsive to detecting commencement of performance, at a time earlier than the optimum time, the candidate task pattern is delayed. The candidate task pattern is performed at the optimum time.

Abstract: Disclosed embodiments provide techniques for monitoring, detecting, predicting, and mitigating electrostatic electricity accumulation. Electrostatic electricity is detected within a premises, via multiple electrostatic electricity sensors. The electrostatic electricity sensors, also referred to as electrostatic charge sensors can detect electrostatic electricity and/or electrostatic potential. Disclosed embodiments acquire electrostatic electricity data from multiple sensors. Other mechanical activity is also acquired via sensors and/or computer vision techniques. The mechanical activity can include motion of machines and/or people. Disclosed embodiments correlate levels of electrostatic electricity data to mechanical activity using machine learning. The machine learning system is used to predict future levels of electrostatic electricity based on proposed and/or mechanical activity, as well as automatically invoke mitigation steps and generate alert messages.

Abstract: A valid combination of products is constructed from a set of products identified by a retailing backend system. The valid combination satisfies a condition of an offer. A product in the combination of product is a physical product located in a physical store. A social sentiment towards the product in social media data of a shopper is evaluated, and a rating of the product is computed using the evaluation. A location of the product in the store is obtained from the retailing backend system. The location of the product is overlaid on a view of the store, where the view is from a perspective of a location of the shopper, the shopper being physically situated in the store.

Abstract: One or more computer processors detect a computing device within a proximity to a rollable device. The one or more computer processors determine a location and an orientation of the rollable device relative to the computing device. The one or more computer processors attach the rollable device to the computing device utilizing the set of biometric locks engaged programmatically such that at least one side of the rollable device is locked and hinged to the computing device. The one or more computer processors responsive to the rollable device attached to a side of the computing device, extend a display area of the computing device to the rollable device.

Abstract: A computer-implemented method for airflow control for agricultural pollination is disclosed. The computer-implemented method includes performing image analysis on an agricultural image to determine a type and classification of one or more plants in the agricultural image, determining one or more pollination requirements for the one or more determined plants, determining one or more current airflow parameters within a predetermined area of the one or more plants in the agricultural image, determining one or more optimal airflow parameters based on the type of plants in the agricultural image, the classification of plants in the agricultural image, the one or more pollination requirements for the plants in the agricultural image, and the one or more current airflow parameters, and generating an automatic airflow adjustment model for optimizing the airflow parameters for the plants based, at least in part, on the one or more determined optimal airflow parameters.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for embedding information associated with content depicted in a video frame into a video file. The method includes one or more processors identifying an object depicted in a frame of a video file. The method further includes determining information associated with the identified object. The method further includes generating a graphical user interface (GUI) element that includes an embedded link to the determined information associated with the identified object. The method further includes embedding the generated GUI element into the video file overlaying a portion of the frame of the video file that corresponds to a location of the identified object within the frame of the video file.