Abstract: Methods, apparatus, and processor-readable storage media for security-based image classification using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining one or more images; extracting text from at least a portion of the one or more images by processing the one or more images using at least a first set of one or more artificial intelligence techniques; classifying at least one of the one or more images, into one or more of multiple security-based classification categories, by processing at least a portion of the extracted text using at least a second set of one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the classifying of the at least one of the one or more images.

Abstract: Methods, systems and computer program products for providing automatic determination of recommended hyper-local data sources and features for use in modeling is provided. Responsive to training each model of a plurality of models, aspects include receiving client data, a use-case description and a selection of hyper-local data sources, generating a client data profile, determining feature importance and generating a use-case profile. Aspects also include generating a feature profile relation graph including client data profile nodes, hyper-local feature nodes and a use-case profile nodes, wherein each hyper-local feature node is associated with one or more client data profile nodes and user-case profile nodes by a respective edge having an associated edge weight. Responsive to receiving a new client data set and a new use-case description, aspects also include determining one or more hyper-local features as suggested hyper-local features for use in building a new model.

Abstract: A shared computer device configured to receive a reservation request associated with a user at the shared computer device to reserve a predetermined period of time for usage of the shared computer device, receive an input from the user on the shared computer device during the predetermined period of time to sign in to and use the shared computer device to access and use a predetermined application, based on the signing in, downloading, from a server, predetermined personal information of the user stored in the server regarding the predetermined application and granting access to the user to use the predetermined application on the shared computer device during the predetermined period of time using the downloaded personal information of the user, and delete the personal information of the user from the shared computer device after the predetermined period of time expires.

Abstract: A system, which includes a first device associated with a user, a second device configured to establish a user session and a server, performs storing a default user session setting associated with the user, the default user session setting defining a default user access privilege to functionality or content; determining that the first device is proximate to the second device; receiving a second user input requesting to modify the default user session setting, the second user input including modification data defining a restrictive modification to the default user session setting; modifying, at the server, the default user session setting based on the modification data to create a customized user session setting defining a customized user access privilege to the functionality or content available via the system; and establishing, at the second device, the customized user session for the user based on the customized user setting received from the server.

Abstract: A system, which includes a first device associated with a user, a second device configured to establish a user session and a server, performs storing a default user session setting associated with the user, the default user session setting defining a default user access privilege to functionality or content; determining that the first device is proximate to the second device; receiving a second user input requesting to modify the default user session setting, the second user input including modification data defining a restrictive modification to the default user session setting; modifying, at the server, the default user session setting based on the modification data to create a customized user session setting defining a customized user access privilege to the functionality or content available via the system; and establishing, at the second device, the customized user session for the user based on the customized user setting received from the server.

Abstract: In example implementations described herein, there are systems and methods for processing sensor data from an equipment over a period of time to generate sensor time series data; processing the sensor time series data in a kernel weight layer configured to generate weights to weigh the sensor time series data; providing the weighted sensor time series data to fully connected layers configured to conduct a correlation on the weighted sensor time series data with predictive maintenance labels to generate an intermediate predictive maintenance label; and providing the intermediate predictive maintenance label to an inversed kernel weight layer configured to inverse the weights generated by the kernel weight layer, to generate a predictive maintenance label for the equipment.

Abstract: Methods, systems and computer program products for facilitating use of select hyper-local data sets for improved modeling are provided. Aspects include receiving customer data associated with a customer by a workbench platform and determining an accuracy of a customer model using the customer data. For each of a plurality of hyper-local data sets, aspects also include determining an increase in model accuracy based on use of the hyper-local data set and the customer data. Aspects include identifying at least one group of hyper-local data sets of the plurality of hyper-local data sets that result in similar increases in model accuracy. Aspects also include facilitating use of a selected one or more of the hyper-local data sets of the at least one group of hyper-local data sets in generating an improved accuracy customer model.

Abstract: In example implementations described herein, there are systems and methods for processing sensor data from an equipment over a period of time to generate sensor time series data; processing the sensor time series data in a kernel weight layer configured to generate weights to weigh the sensor time series data; providing the weighted sensor time series data to fully connected layers configured to conduct a correlation on the weighted sensor time series data with predictive maintenance labels to generate an intermediate predictive maintenance label; and providing the intermediate predictive maintenance label to an inversed kernel weight layer configured to inverse the weights generated by the kernel weight layer, to generate a predictive maintenance label for the equipment.

Abstract: An improved human-computer interface for placing and sizing virtual objects in a three-dimensional (“3D”) representation of a real-world environment is disclosed herein. The disclosed HCI can determine a location, size, and orientation of virtual objects in a 3D representation of a real-world environment based on simplified user gestures. In some embodiments, based on the timing and direction of an input gesture, a computing device can utilize (1) an automated mode that determines a position and orientation of a virtual object or utilize (2) a manual mode that determines position, orientation, and size of the virtual object. A computing device capable of 3D spatial mapping generates mesh data defining a 3D representation of a real-world environment and images of the real-world environment. The size of the virtual object can be based on a computed depth of real-world objects related to the virtual object.

Abstract: Methods, systems and computer program products for facilitating use of select hyper-local data sets for improved modeling are provided. Aspects include receiving customer data associated with a customer by a workbench platform and determining an accuracy of a customer model using the customer data. For each of a plurality of hyper-local data sets, aspects also include determining an increase in model accuracy based on use of the hyper-local data set and the customer data. Aspects include identifying at least one group of hyper-local data sets of the plurality of hyper-local data sets that result in similar increases in model accuracy. Aspects also include facilitating use of a selected one or more of the hyper-local data sets of the at least one group of hyper-local data sets in generating an improved accuracy customer model.

Abstract: Methods, systems and computer program products for providing automatic determination of recommended hyper-local data sources and features for use in modeling is provided. Responsive to training each model of a plurality of models, aspects include receiving client data, a use-case description and a selection of hyper-local data sources, generating a client data profile, determining feature importance and generating a use-case profile. Aspects also include generating a feature profile relation graph including client data profile nodes, hyper-local feature nodes and a use-case profile nodes, wherein each hyper-local feature node is associated with one or more client data profile nodes and user-case profile nodes by a respective edge having an associated edge weight. Responsive to receiving a new client data set and a new use-case description, aspects also include determining one or more hyper-local features as suggested hyper-local features for use in building a new model.

Abstract: A method, computer system, and a computer program product for predicting one or more travel paths for one or more mobile assets is provided. The present invention may include retrieving a set of input data. The present invention may then include predicting one or more spatio-temporal user profile flows based on the set of past user trajectory data and the plurality of user interests. The present invention may also include correlating the predicted one or more spatio-temporal user profile flows with the one or more mobile assets. The present invention may then include determining potential travel paths in one or more routes associated with a geographical region for one or more mobile assets and halting points for one or more mobile assets.

Abstract: A vehicle bears labels describing handling characteristics of the vehicle for the benefit of autonomous vehicles in proximity to the vehicle. The labels may be nonvisible, such as through use of UV or IR inks. The labels may be present such that they are visible regardless of view direction and may be affixed using a vehicle wrap applied to panels of the vehicle. Autonomous vehicles detect the labels and retrieve handling characteristics from a local database or a remote server. The autonomous vehicles are therefore relieved from the processing required to predict or infer the handling characteristics of the vehicle.

Abstract: A vehicle bears labels describing handling characteristics of the vehicle for the benefit of autonomous vehicles in proximity to the vehicle. The labels may be nonvisible, such as through use of UV or IR inks. The labels may be present such that they are visible regardless of view direction and may be affixed using a vehicle wrap applied to panels of the vehicle. Autonomous vehicles detect the labels and retrieve handling characteristics from a local database or a remote server. The autonomous vehicles are therefore relieved from the processing required to predict or infer the handling characteristics of the vehicle.

Abstract: An improved human-computer interface for placing and sizing virtual objects in a three-dimensional (“3D”) representation of a real-world environment is disclosed herein. The disclosed HCI can determine a location, size, and orientation of virtual objects in a 3D representation of a real-world environment based on simplified user gestures. In some embodiments, based on the timing and direction of an input gesture, a computing device can utilize (1) an automated mode that determines a position and orientation of a virtual object or utilize (2) a manual mode that determines position, orientation, and size of the virtual object. A computing device capable of 3D spatial mapping generates mesh data defining a 3D representation of a real-world environment and images of the real-world environment. The size of the virtual object can be based on a computed depth of real-world objects related to the virtual object.

Abstract: A software product unique to a user includes (i) one or more software components that is executed on a computing environment associated with the user. The one or more software components include an imprinted entitlement data that is imprinted within at least one of (a) a data section, and (b) an instruction section. An entitlement data monitoring module is configured to authenticate the imprinted entitlement data for an execution of the one or more software components on the computing environment. Based on a validity of the imprinted entitlement data, at least one of (i) the one or more software components of the software product is activated or deactivated, and (ii) a representative associated with monitoring the validity of the imprinted entitlement data of the software product is notified.

Abstract: Systems and methods to implement a physical rehabilitation system are disclosed. A disclosed example system includes at a first location an exercise machine and a biometric sensor configured for use by a person. The example system further includes at a second location a computing device communicatively coupled to the exercise machine and the biometric sensor, wherein the computing device is configured to obtain fitness information from the exercise machine and the biometric sensor. The computing device is further configured to provide configuring data to the exercise machine, wherein the configuring data is determined by a medical professional in response to at least one of the obtained fitness information, a medical history of the person, or a medical status of the person.

Abstract: Systems and methods to implement a fitness network system are disclosed. A disclosed example system includes a first data terminal operatively coupled to an exercise machine. The first data terminal is configured to obtain fitness information associated with a fitness member from the exercise machine. The example system also includes a personal digital assistant wirelessly communicatively coupled to the first data terminal via a network. The first data terminal is configured to communicate a first message to the personal digital assistant based on the fitness information. The personal digital assistant enables a fitness trainer to communicate a message to the fitness member based on the first message.

Abstract: Methods and apparatus for monitoring quality of service for an exercise machine communications network are disclosed. A disclosed example system for monitoring a quality of service for an exercise machine communication network comprises a server and an exercise machine console communicatively coupled to the server via the exercise machine communication network and operatively coupled to an exercise machine. The exercise machine console is configured to communicate exercise machine usage information to the server, and the server is configured to determine network performance associated with the exercise machine network based on the exercise machine usage information.