Abstract: An embodiment of the invention may include a method, computer program product and computer system for object detection and identification. The method, computer program product and computer system may include computing device which may receive an image from a user device. The image may be a screenshot captured by the user device from a display. The computing device may classify the image based on features present in the image and detect a salient object contained within the image. The computing device may identify the object in the image and one or more sources of the object in the image.

Abstract: An embodiment of the invention may include a method, computer program product and computer system for object detection and identification. The method, computer program product and computer system may include computing device which may receive an image from a user device. The image may be a screenshot captured by the user device from a display. The computing device may classify the image based on features present in the image and detect a salient object contained within the image. The computing device may identify the object in the image and one or more sources of the object in the image.

Abstract: A tool for providing a version controller bulletin. The tool retrieves metadata from a plurality of version controller repositories in a development environment. The tool creates one or more snapshots for the metadata over a pre-determined period of time, wherein the pre-determined period of time includes a start time and an end time. The tool determines a metadata difference between non-code related issue clusters of the one or more snapshots. The tool determines a confidence to conflict value and a line of code range for code related issue clusters of the one or more snapshots, wherein the confidence to conflict value represents a probability of a merge conflict. The tool provides respective heat maps for code related issue clusters and non-code related issue clusters. The tool outputs to a version controller bulletin, the metadata difference, the confidence to conflict value, respective heat maps, and the line of code range.

Abstract: Embodiments for generating recommendations for user activity onboard a vehicle are provided. A first user and a second user onboard a vehicle are identified. A relationship between the first user and the second user is determined based on at least one information source associated with at least one of the first user and the second user. A traffic condition associated with the vehicle traveling to a destination is detected. A recommendation of an joint activity for the first user and the second user while onboard the vehicle is generated based on the determined relationship between the first user and the second user, the detected traffic condition, and the at least one information source.

Abstract: An approach is provided that trains an artificial intelligence system to understand user preferences with least some of these preferences being learned from social media data pertaining to the user. The approach identifies points of interest between a starting location and a planned destination. The identification is performed while the user is traveling by automobile to the planned destination. The planned destination is included in an itinerary. The approach calculates an affinity score between the points of interest and the user preferences and recommends a set of points of interest based on the calculated affinity scores. A selection is received from the user of one of the points of interest from the recommended set. The itinerary is updated to include traveling to the selected point of interest and the user is provided with a set of driving instructions according to the updated itinerary.

Abstract: Embodiments for generating recommendations for user activity onboard a vehicle are provided. A first user and a second user onboard a vehicle are identified. A relationship between the first user and the second user is determined based on at least one information source associated with at least one of the first user and the second user. A traffic condition associated with the vehicle traveling to a destination is detected. A recommendation of an joint activity for the first user and the second user while onboard the vehicle is generated based on the determined relationship between the first user and the second user, the detected traffic condition, and the at least one information source.

Abstract: An embodiment of the invention may include a method, computer program product and computer system for object detection and identification. The method, computer program product and computer system may include computing device which may receive an image from a user device. The image may be a screenshot captured by the user device from a display. The computing device may classify the image based on features present in the image and detect a salient object contained within the image. The computing device may identify the object in the image and one or more sources of the object in the image.

Abstract: An embodiment of the invention may include a method, computer program product and computer system for object detection and identification. The method, computer program product and computer system may include computing device which may receive an image from a user device. The image may be a screenshot captured by the user device from a display. The computing device may classify the image based on features present in the image and detect a salient object contained within the image. The computing device may identify the object in the image and one or more sources of the object in the image.