Abstract: A translation system receives examples of translations between a first language and a second language. In response to receiving request to translate a source text from the first language to the second language, the system ranks the examples based on the example's applicability to one or more portions of the source text. The system performs additional training of a neural network that was pre-trained to translate from the first language to the second language, where the additional training is based on one or more top-ranking examples. The system translates the source text to the second language using the additionally trained neural network.

Abstract: Techniques for data lake-based text generation and data augmentation for machine learning training are described. A user-provided dataset including documents and corresponding label information can be automatically supplemented by creating additional high-quality document samples, with labels, via a large repository of documents in a data lake. Documents from the data lake may be identified as being semantically similar to the user-provided documents but different enough to allow a resulting model to learn from the variation in these documents. New documents can be generated from user-provided document samples or data lake sample documents by identifying and replacing slots within the samples and rewriting adjunct tokens.

Abstract: A personalized scheduling and networking method, system, and non-transitory computer readable medium include creating a user persona profile based on user information, extracting scheduling and networking information based on event information, matching a user with events during a conference based on the extracted scheduling and networking information and the user persona profile, and creating a schedule and a route for maximizing a number of the events and networking opportunities based on matches of the matching.

Abstract: An analytics engine operates on data associated with users and opportunities. A broker system provides the opportunity data to the analytics engine, but the analytics engine does not provide user data to the broker system. The analytics engine notifies users of results of analytics operations.

Abstract: Techniques for drone device control are provided. In one example, a computer-implemented method comprises: meeting, by a drone device operatively coupled to a processor, an aircraft at a first location; and guiding, by the drone device, the aircraft to a second location along a ground movement path selected from a plurality of ground movement paths associated with an airport. The guiding can comprise providing a direction indication to the aircraft; and monitoring a defined region around the aircraft for one or more hazards. The guiding can also comprise, in response to identifying a hazard from the one or more hazards related to the defined region around the aircraft, providing a hazard indication to the aircraft.

Abstract: Embodiments are directed to a computer implemented method and system of proactively caching content for a mobile electronic device. The method includes determining the location of a mobile electronic device, predicting the location of the mobile electronic device, including a prediction of when the mobile electronic device will be in a location of low or no network connectivity. The data that will be retrieved while the mobile electronic device is not connected to the network is also predicted. Thereafter, the predicted data that will be retrieved is downloaded prior to losing network connectivity so that it can be accessed from memory while the mobile electronic device has low or no network connectivity. Other embodiments are also described.

Abstract: A method and system are provided for assisting a user performing a procedure. The method includes capturing, by a camera, images of user activity while the user is performing the procedure. The method further includes converting, by computer processing system, the images of user activity into a text representation of user activity. The method also includes comparing, by the computer processing system, the textual representation of user activity to procedure documentation. The method additionally includes at least one of visually and audibly indicating, by a display and a speaker, a corrective action to the user responsive to a mismatch result from said comparing step.

Abstract: Techniques for drone device control are provided. In one example, a computer-implemented method comprises: meeting, by a drone device operatively coupled to a processor, an aircraft at a first location; and guiding, by the drone device, the aircraft to a second location along a ground movement path selected from a plurality of ground movement paths associated with an airport. The guiding can comprise providing a direction indication to the aircraft; and monitoring a defined region around the aircraft for one or more hazards. The guiding can also comprise, in response to identifying a hazard from the one or more hazards related to the defined region around the aircraft, providing a hazard indication to the aircraft.

Abstract: Embodiments are directed to a computer implemented method and system of proactively caching content for a mobile electronic device. The method includes determining the location of a mobile electronic device, predicting the location of the mobile electronic device, including a prediction of when the mobile electronic device will be in a location of low or no network connectivity. The data that will be retrieved while the mobile electronic device is not connected to the network is also predicted. Thereafter, the predicted data that will be retrieved is downloaded prior to losing network connectivity so that it can be accessed from memory while the mobile electronic device has low or no network connectivity. Other embodiments are also described.

Abstract: A method and system are provided for assisting a user performing a procedure. The method includes capturing, by a camera, images of user activity while the user is performing the procedure. The method further includes converting, by computer processing system, the images of user activity into a text representation of user activity. The method also includes comparing, by the computer processing system, the textual representation of user activity to procedure documentation. The method additionally includes at least one of visually and audibly indicating, by a display and a speaker, a corrective action to the user responsive to a mismatch result from said comparing step.

Abstract: A personalized scheduling and networking method, system, and non-transitory computer readable medium include creating a user persona profile based on user information, extracting scheduling and networking information based on event information, matching a user with events during a conference based on the extracted scheduling and networking information and the user persona profile, and creating a schedule and a route for maximizing a number of the events and networking opportunities based on matches of the matching.

Abstract: An analytics engine operates on data associated with users and opportunities. A broker system provides the opportunity data to the analytics engine, but the analytics engine does not provide user data to the broker system. The analytics engine notifies users of results of analytics operations.