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: 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: 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: The present invention relates to novel formulations comprising a sprayable composition comprising tranexamic acid and chitosan for use in the treatment of wounds or injuries, in particular for use as a topical hemostatic composition or for surgical intervention and the process for preparation thereof.

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: System and methods for generating a product recommendation based on reactions such as bio-feedback of a subject during a virtual try-on session are described herein. A recommendation engine captures bio-feedback and determines whether the subject has a positive or negative attitude towards a certain feature of a product that is being virtually “tried on” with the subject. The recommendation engine can then provide a product recommendation based on the actual sentiment of the subject towards a product feature.

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.

Abstract: Provided are techniques for dynamically creating and playing a scenario replication for an activity on one or more visual and audio devices. One or more patterns and one or more contexts are stored. One or more goals are stored for a user. A current context is identified from data from a plurality of data sources. The current context is matched to a stored context of the one or more contexts. A pattern associated with the matched context is identified. A recommendation of an activity is provided based on the pattern and based on a goal of the one or more goals. A scenario replication is created with at least one of visual elements and audio elements for the recommendation. One or more visual and audio devices are identified. The scenario replication is played on the one or more visual and audio devices.

Abstract: A processor may receive first sensor data associated with detected movement of a user in an environment. The processor may determine, using an AI model, based on the first sensor data, that the movement of the user is associated with a first object. The processor may retrieve sensory data associated with the first object from a repository. In some embodiments, the sensory data may include at least one of auditory, olfactory, and haptic data associated with historical user interactions with the first object. The processor may provide a first sensory signal to the user to indicate a location of the first object relative to a first location of the user.

Abstract: An approach for improving performing customer related services for passengers during a trip is disclosed. Customer related services can include delivering meals and beverages to passengers. The approach leverages the use of an overhead robotic system that can identify appropriate movement path in the air (i.e., above passenger's head) so that other passengers are not disturbed by the service to the target passenger. Furthermore, the approach can calculate the current engagement level (i.e., request queue status) of the overhead robotic system and optimize the movement path of the robotic system to provide services to passengers in the shortest possible time. The approach can also perform other functions, such as, medical assistance to assist passengers during the trip.

Abstract: A system for activating an emitting module is provided. A computer device identifies (i) environment data relating to an environment, and (ii) user data relating to a user located within the environment, wherein the user is wearing a wearable computing device. The computing device predicts that the user will interact with a surface in the environment based, at least in part, on the environment data and the user data. The computing device selects at least one emitting module from a plurality of emitting modules on the wearable device based, at least in part, on a predicted proximity of the at least one emitting module to the surface. The computing device prompts the user to activate the at least one emitting module.