Abstract: In an approach for creating synthetic visual inspection data sets for training an artificial intelligence computer vision deep learning model utilizing augmented reality, a processor enables a user to capture a plurality of images of an anchor object using a camera on a user computing device. A processor receives the plurality of images of the anchor object from the user. A processor generates a baseline model of an anchor object. A processor generates a training data set. A processor trains the baseline model of the anchor object. A processor creates a trained Artificial Intelligence (AI) computer vision deep learning model. A processor enables the user to interact with the trained AI computer vision deep learning model in an access mode.

Abstract: In an approach for creating synthetic visual inspection data sets for training an artificial intelligence computer vision deep learning model utilizing augmented reality, a processor enables a user to capture a plurality of images of an anchor object using a camera on a user computing device. A processor receives the plurality of images of the anchor object from the user. A processor generates a baseline model of an anchor object. A processor generates a training data set. A processor trains the baseline model of the anchor object. A processor creates a trained Artificial Intelligence (AI) computer vision deep learning model. A processor enables the user to interact with the trained AI computer vision deep learning model in an access mode.

Abstract: A method can include determining metadata for a file responsive to initiating an operation on the file stored within a client system and determining a storage location within a file repository of a master version of the file from the metadata. The method also can include determining, from the storage location, whether the master version of the file is more recent than the file stored within the client system using a processor of the client system.

Abstract: Methods, systems, and products are disclosed for displaying speech command input state information in a multimodal browser including displaying an icon representing a speech command type and displaying an icon representing the input state of the speech command. In typical embodiments, the icon representing a speech command type and the icon representing the input state of the speech command also includes attributes of a single icon. Typical embodiments include accepting from a user a speech command of the speech command type, changing the input state of the speech command, and displaying another icon representing the changed input state of the speech command. Typical embodiments also include displaying the text of the speech command in association with the icon representing the speech command type.

Abstract: A method includes, with a first computing device, receiving contact information for an entity from a connector, the connector being a human operator of a peer computing device that stores a contact information database for contacts of the connector, the contact information being contact information for the entity, where the connector is providing the contact information to put an operator of the first computing device in communication with the entity, after receiving the contact information, receiving a communication with the first computing device from the entity, and in response to receiving the communication from the entity, displaying at least some of the contact information in an introduction tag along with notification of receiving the communication.

Abstract: A method, medium and implementing computer system are provided in which the aggregate preferences of a gathered group of individuals in a certain proximity and with respect to a predetermined perceivable and controllable function are ascertained. Individual preferences are processed to obtain a group preference and if the group preference meets predetermined criteria, the group preference is implemented with respect to the controllable function. In a specific example, movie preview playlists are modified by a control server according to the ascertained preferences of the particular group to whom the movie previews are being presented. In another example, the ambient temperature of a room in which a group of individuals is gathered is adjusted by a temperature-control server in response to the polled and ascertained preferences of each of the individuals.