Abstract: The present disclosure includes digitizing user symptoms. A processor may receive user provided data from one or more data collection devices. A processor may access a historical database. The historical database may include historical user provided data. A processor may generate a user data packet based, at least in part on, the user provided data and the historical database. A processor may display the user data packet to one or more authorized user and one or more other correlating information.

Abstract: According to one embodiment, a method, computer system, and computer program product for contextual route guidance is provided. The embodiment may include receiving user information related to a current travel route. The embodiment may further include identifying current status information associated with a transportation hub through IoT-collected data. The embodiment may also include generating a navigation path for a user to reach a destination within the transportation hub based on the received user information and the identified current status information. The embodiment may further include presenting the navigation path to the user.

Abstract: One or more computer processors derive a base corpus by capturing time series haptic data from an artisan performing an artisanal skill comprising a plurality of artisanal actions, wherein each artisanal action in the plurality of artisanal actions is associated with a time interval. The one or more computer processors train a multi-agent reinforcement learning (MARL) model utilizing the derived base corpus, wherein the MARL model outputs a vector representing one or more predicted artisanal actions required to complete the artisanal skill. The one or more computer processors generate a training avatar utilizing a trained generated adversarial network fed with one or more user parameters identified from a user requesting guidance for the artisanal skill and the output vector of the trained MARL model. The one or more computer processors guide the user with the generated training avatar in an execution of the artisanal skill.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for providing online media content. Online audiovisual media to be displayed to a user is provided to a client device. In response to detecting that the user is inattentive relative to the displayed audiovisual media, the provisioning of the audiovisual media and/or the display of the audiovisual media on the client device are automatically paused. In response to detecting that the user's attention has returned to the audiovisual media, a modified version of the audiovisual media is provided to the client device, to be displayed to the user.

Abstract: An approach for a computer program to retrieve historical incident data associated with a contaminated site to predict a future incident at the contaminated site. In the approach, the computer program evaluates the historical incident data to determine a deployment of a plurality of unmanned vehicles to form a virtual fence around the contaminated site. Furthermore, in the approach, the computer program determines instructions for the deployment of each of the plurality of unmanned vehicles to form the virtual fence around the contaminated site. In the approach, the computer program sends the instructions to form the virtual fence to each of the plurality of unmanned vehicles.

Abstract: A computer-implemented string based force component creation method for a three-dimensional (3D) printer that interacts with a three-dimensional (3D) printer that is installed in a printing apparatus and that prints an object, the method including attaching a string mechanism to the 3D printer, and creating a force component to support the 3D printer and the object via the string mechanism that is attached to the 3D printer.

Abstract: In an approach to security for displayed confidential holographic objects, one or more computer processors receive a request from a user to display a holographic object in association with a device. One or more computer processors identify content to be moved to the holographic object. One or more computer processors determine the content includes confidential information. One or more computer processors request authentication from the user. One or more computer processors receive the authentication from the user. One or more computer processors create a holographic boundary, where the holographic boundary blocks a view of the holographic object from one or more unauthorized users. One or more computer processors display the holographic boundary. One or more computer processors display the holographic object in association with the device.

Abstract: According to one embodiment, a method, computer system, and computer program product for transmitting data from a set of edge devices is provided. The embodiment may include identifying one or more Internet-of-Things (IoT) devices within a structure. The embodiment may include combining the identified one or more IoT devices into one or more groups. The embodiment may include identifying a respective primary device for each group of the one or more groups. The embodiment may include deploying a tiny machine learning (ML) model on each identified respective primary device. In response to detection of an event within the structure by a group of the one or more groups, the embodiment may include utilizing the tiny ML model of a primary device of the group to select one or more other groups for activation.

Abstract: A computer-implemented dynamic supporting base creation method that interacts with a three-dimensional (3D) printer that prints an object, the method including providing a physical support, via a first robotic gripper, for an object during three-dimensional (3D) printing using a printing head of the 3D printer and transferring the object to a second robotic gripper to provide a physical support at a different location on the object.

Abstract: Provided are techniques for performing edge processing by selecting edge devices based on security levels. A security policy is identified for a job to determine a security level for the data. A number of the edge devices that are to be included in a participating group to execute the job is identified. A subset of edge devices that meet the security level are identified by comparing security data of each of the edge devices with the security level. In response to determining that the subset of edge devices includes that number of edge devices, the edge devices from the subset are added to the participating group. The job is executed using the edge devices in the participating group and the one or more cloud nodes, while maintaining the security level in processing the data and in communications across the edge devices and the one or more cloud nodes.

Abstract: A computer-implemented method for displaying advertisements. The method includes associating feature metadata with a product video advertisement of a product. The method includes identifying, based on the feature metadata, a feature of the product corresponding with a section of the product video advertisement when a triggering event is detected during playing of the product video advertisement. The method includes displaying a second product video advertisement of a second product that includes the feature of the product.

Abstract: Voice command type entry used as a basis for applying “audio effects” (see definition herein), “sound effects” (see definition herein) and/or audio edits (see definition herein) to a sound signal. This may be done so that the various types of instructed audio processing evoke, in typical listeners, a desired sentiment or mood. Artificial intelligence may be used to accomplish this objective.

Abstract: Multi-cloud deployment strategy is based on automated analysis of context and requirements for an activity workload. The activity workload is defined by user input including information regarding project cost, performance requirements, and geographical preferences. Selection of cloud-based resources for handling the activity workload is based in part on service availability record, projected cost of resources, and physical geographic locations. A cloud services registry provides cloud service provider data for selection to perform aspects of the activity workload.

Abstract: A processor may receive data regarding an emergency event. The processor may identify, using an artificial intelligence model, one or more features regarding the emergency event. The processor may determine that the one or more features are associated with one or more emergency response tasks. The processor may generate an action plan that incorporates the one or more emergency response tasks. The processor may output the action plan to a user.

Abstract: A computer-implemented method, system and computer program product for seamlessly adjusting the utilization of computational resources of a computing device. A pattern of usage of computational resources of the computing device over a timeframe is determined. An artificial intelligence model uses such a pattern of usage and/or any identified contextual needs for upgrading or downgrading the computational resources of the computing device to determine the predicted amount of computational resources needed to be utilized by the computing device. Based on such a predicted amount, a blockchain transaction may be initiated and recorded to upgrade/downgrade the computational resources of the computing device.

Abstract: A computer system provides patient monitoring and treatment using electronic textiles. Biometric data pertaining to a user is received that is obtained over time from an electronic textile device associated with a body of the user. The biometric data is analyzed to identify positions and movements of the body. The identified positions and movements are analyzed to generate a knowledge corpus for the user that maps one or more of: positions, movements, and portions of the body to a health condition of the user. A treatment plan is generated, based on the knowledge corpus, that indicates a relatedness between the health condition of the user and the one or more positions, movements, and portions of the body. Embodiments of the present invention further include a method and program product for providing patient monitoring and treatment in substantially the same manner described above.

Abstract: Decentralized cloud service assessment includes using a self-executing data structure, an error confirmation capsule (ECC) generated in response to a cloud service failure experienced by a cloud service client (CSC). One or more technical performance indicia corresponding to the cloud service failure are extracted from the ECC in response to the validating. The one or more technical performance indicia are compared to one or more electronically stored predefined performance norms of a cloud service provider (CSP) associated with the cloud service failure. Based on the comparing, a comparative ranking of the CSP is determined. A graphical user interface display is generated based on comparative rankings of the CSP and one or more other CSPs.

Abstract: A computer hardware system includes a full self-driving (FSD) assistive system for assisting a user with a trip using a FSD autonomous vehicle and hardware processing configured to initiate the following executable operations. Based upon a first user input to a computing device associated with the user, a proposed route of the trip is received. A previously-stored user profile of the user and a context of the trip is retrieved. The vehicle is searched for based upon the user profile, the proposed route, and the context. The vehicle is configured using the user profile. External sensors are polled for road conditions along the route, and the road conditions are forwarded to the vehicle. An onboard analytics device of the vehicle uses the road conditions to change a driving mode of the vehicle.

Abstract: A processor may automatically select a cloud service provider. A processor may receive one or more parameters associated with an entity and a cloud service dataset associated with a provider. A processor may generate a digital twin of the entity using the one or more parameters. A processor may simulate the digital twin of the entity and the cloud service dataset. A processor may identify, responsive to simulating the digital twin of the entity and the cloud service dataset, one or more predicted conditions of cloud service dataset on the entity. A processor may select the provider based, at least in part, on the one or more predicted conditions.

Abstract: Provided are computer program product, system, and method for using a machine learning module to determine a group of execution paths of program code and a computational resource allocation to use to execute the group of execution paths. Information on activity steps in program code and a system load of a system in which the program code is executed are provided as inputs to a resource allocation machine learning module. The resource allocation machine learning module processes the provided inputs to output computational resource allocations for execution paths of activity steps in the program code to execute in parallel, including memory and processing resource allocations optimized according to an optimization criteria. The outputted computational resource allocations are allocated to execute the activity steps in the execution paths in parallel.