Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can dynamically generate audio for one or more images associated with a location based on contextual information that satisfies a request. Embodiments of the present invention can embed the generated audio into the one or more images. Embodiments of the present invention can then display the one or more images with the embedded audio on a user device.

Abstract: A computer-implemented method for augmentation and printing of a three-dimensional (3D) object is provided. The computer-implemented method includes analyzing a model of the 3D object, information of sensors for deployment on the 3D object and environmental parameters of a location where the 3D object is deployable and determining, from results of the analyzing, a surface contour of the 3D object, power requirements of the sensors and power levels that can be generated at the location by algae-based power generation. The computer-implemented method further includes augmenting the model with microfluidic circuitry models for supporting the algae-based power generation on the surface contour to meet the power requirements to an extent possible given the power levels, printing the 3D object and microfluidic circuitry according to the model and the microfluidic circuitry models and supplying the microfluidic circuitry with algae for the algae-based power generation.

Abstract: A method is provided for AI land discovery for potential crop growing that includes extracting features from imaging of a geographic area. Underutilized or unutilized land is identified within the geographic area based on the extracted features. Multimedia is analysed related to climatic conditions affecting the underutilized or unutilized land. At least one robot is deployed to obtain local measurements at the identified underutilized or unutilized land. Crop growth viability is evaluated for at least one crop at the underutilized or unutilized land. The crop growth viability includes the analysed climatic conditions and obtained local measurements. The cultivation of the at least one crop is implemented.

Abstract: Customer flexible pickup of product delivery that includes taking a product order from a customer to a merchant, wherein the customer provides a main delivery address, and providing pickup points to the customer for product delivery. Delivery vehicles with products for the product order are sent into transit. Customer instructions are received for at least one product of the product order to be delivered to at least one pickup point. At least one product is matched to the inventory in the delivery vehicles. Delivery vehicles are matched by inventory and location to the pickup point. At least one product is delivered to the at least one pickup point with matched delivery vehicle. A remainder of products in the product order are delivered to the main delivery address.

Abstract: A system for finding and presenting content relevant to a user objective includes a research management module configured to receive a research objective from a user and determine one or more sources of content visited by the user, a content evaluation module configured to determine whether the one or more sources of content visited by the user are relevant to the research objective and identify relevant sections of content within the sources of content visited by the user to produce identified sections of relevant content and a user interface module configured to present the identified sections of relevant content to the user. A computer-implemented method and computer program product corresponding to the above system are also disclosed herein.

Abstract: A processor may receive instructional information. The instructional information may be associated with an instructional media. A processor may analyze the instructional information for one or more instructions. A processor may identify a target device from the one or more smart devices in the smart environment that are associated with the one or more instructions. A processor may perform the one or more instructions with the target device.

Abstract: An embodiment for augmented reality (AR)-based visualization of an accidental situation in a multi-machine environment is provided. The embodiment may include receiving real-time and historical data relating to an activity. The embodiment may also include identifying a context of the activity and at least one property of one or more objects associated with the activity. The embodiment may further include identifying one or more items of safety equipment used by a user. The embodiment may also include assigning a compatibility score to the user. The embodiment may further include in response to determining the compatibility score is not adequate, executing a digital twin simulation of an avatar of the user. The embodiment may also include creating a visual animation of a resultant state of the avatar of the user consistent with the executed digital twin simulation. The embodiment may further include displaying the visual animation to the user.

Abstract: Computer implemented method, systems, and computer program products include program code executing on a processor(s) that determines that a user has purchased a product. The program code classifies, with at least one trained algorithm, the product into a product type classification. The program code implements one or more trigger events; based on each trigger event occurring, the processor(s) generates and transmits an inquiry to the user. The program code determines that a trigger event has occurred. The program code generates the inquiry, obtains responsive feedback, and generates a product review.

Abstract: A mobile charging station for transporting and recharging multiple UAVs (unmanned aerial vehicles), typically small UAVs, with the charging station, itself, being in the form of a carrier UAV. By transporting smaller passenger UAVs in, or on, the larger carrier UAV: (i) the smaller UAVs effectively have a longer range because they can be taken part, or even most, of the way to a target destination by riding in, or on, the larger carrier UAV; (ii) the passenger UAVs can have their electrical batteries re-charged; (ii) the passenger UAVs can have their batteries replaced; and/or (iv) the passenger UAVs can have their hydrogen fuel cells recharged with hydrogen (for examples, by replacement of the fuel cell or by pumping hydrogen into the existing fuel cell.

Abstract: Generating safety level scores of travel parking spots by an AI model trained by supervised learning using labeled online source data and static and dynamic IoT data, determining a current location and travel route of a vehicle, identifying potential travel parking spots within the geospatial area of the current location and travel route of the vehicle, receiving data from online sources and static and dynamic data of IoT devices in the vicinity of the travel parking spots, generating by the AI model, safety level scores for the travel parking spots within a geospatial area of the vehicle, and sending a listing of the safety level scores to a computing device associated with the vehicle.

Abstract: Provided are techniques for chain of virtual reality content sharing with activity information. A first Virtual Reality (VR) content is received from a first node in a chain of nodes, wherein the first VR content includes a first avatar and interaction of the first avatar with the first VR content. It is determined whether a second user is interacting with the first VR content at a second node in the chain of nodes. In response to determining that the second user is interacting with the first VR content, a second VR content is created with an incremental update to the first VR content by: creating a second avatar and adding the second avatar and interaction of the second avatar with the first VR content to the first VR content. The second VR content is sent to a third node in the chain of nodes.

Abstract: Provided are a computer program product, system, and method for detection of a homoglyph attack in code reviewed in an augmented reality display. A determination is made whether a line of code of source code includes a non-coding script character in a non-coding script that is a homoglyph of a coding script character in a coding script as indicated in a homoglyph pair. Valid statements in a computer language in which the source code is written are formed from characters in the coding script and not from characters in the non-coding script. In response to determining that the line of code includes the non-coding script character in the homoglyph pair, transmitting information on the homoglyph pair to cause the augmented reality display to render information on indication of the homoglyph.

Abstract: Information based on an action performed relating to a portion of code of an application stored using a code repository is obtained. The portion of code is dynamically aligned with at least one component of a reference architecture relating to the application. A correlation exists between the portion of code of the code repository and the reference architecture. Based on the information, navigating is automatically performed to a specified location. The specified location is a selected area in the code repository or a selected area in the reference architecture.

Abstract: A method for load distribution on a roadway includes receiving roadway condition information for a portion of a roadway. The method also includes determining a load distribution on the portion of the roadway for current roadway conditions associated with the roadway condition information. In response to determining an action is required with respect to a first vehicle traveling on the portion of the roadway, the method also include determining whether the first vehicle is being operated in manual mode. In response to determining the first vehicle is being operated in manual mode, the method also includes determining guidance for an operator of the first vehicle to perform the action with respect to the load distribution on the portion of the roadway. The method also includes displaying, by the first vehicle, the guidance to the operator of the first vehicle.

Abstract: In an approach to improve manufacturing quality, embodiments of the present invention dynamically monitor a degree of influencing factors in a predetermined area, and identify one or more machines used in a predetermined manufacturing process. Further, embodiments generate a digital twin of a predetermined final product associated with the predetermined manufacturing process, and analyze an effect of the influencing factors on the identified one or machines or the predetermined final product. Additionally, embodiments identify upper limit of the influencing facts, and output proposed changes to prevent the effects of the influencing factors based on the identified upper limit.

Abstract: An embodiment for self-development of resources is provided. The embodiment may include receiving data relating to an activity and a first robotic device assigned to perform the activity. The embodiment may also include creating a knowledge corpus of a second set of one or more robotic devices capable of performing the activity. The embodiment may further include executing a digital twin simulation of a digital twin model of the first robotic device performing the activity. The embodiment may also include in response to determining the first robotic device is unable to complete the activity without incident, identifying within the second set of one or more robotic devices a most comparable robotic device to the first robotic device. The embodiment may further include predicting a modification of the first robotic device. The embodiment may also include attaching one or more resources printed by a 3D printer to the first robotic device.

Abstract: Systems, methods and/or computer program products for improving autonomous vehicle operation by enabling communication between the autonomous vehicles and BCI systems publishing signals from nearby pedestrians. Wearable BCI devices worn by pedestrians analyze brainwave signals and classify the brainwave signals in order to filter out signals that are unrelated to crossing the street or the directionality of travel by the pedestrian. BCI devices publish, or broadcast brain wave signals related to crossing the street or directionality of travel to the surrounding area where autonomous vehicle receive and process the brainwave signals being published. The autonomous vehicles predict movements of nearby pedestrians based on the intended direction of travel signified by the collected brainwave signals, and the autonomous vehicles select driving actions in response to the anticipated movements of nearby pedestrians.

Abstract: First sensor data can be received from a first set of IoT devices. Sensor data collection rates can be determined for a first artificial intelligence model by analyzing the first sensor data using a second artificial intelligence model. Based on the sensor data collection rates, sensor control commands can be communicated to a second set of Internet of Things devices. The sensor control commands can specify, to the second set of Internet of Things devices, sensor data communication rates that respective ones of the second set of Internet of Things devices are to implement for communicating, to the first artificial intelligence model, second sensor data generated by sensors of the respective ones of the second set of Internet of Things devices.

Abstract: Enhanced survey information synthesis can include performing a respondent assessment of a survey respondent based on respondent data obtained electronically from one or more electronic data sources. Survey responses provided by the survey respondent can be adjusted, the adjusting based on the respondent assessment. A revised survey can be generated, the revised survey comprising the survey responses adjusted based on the respondent assessment.

Abstract: An embodiment for decontaminating transportation vehicles is provided. The embodiment may include receiving GPS data and real-time and historical data relating to contamination. The embodiment may also include identifying a route and location of the transportation vehicle. The embodiment may further include predicting one or more target areas to decontaminate. The embodiment may also include placing one or more decontamination devices at the target areas. The embodiment may further include identifying one or more parts of the transportation vehicle requiring decontamination. The embodiment may also include in response to determining at least one type of contamination is airborne, activating the one or more decontamination devices to increase air pressure inside the transportation vehicle and releasing the air pressure when a door is opened.