Abstract: A computer-implemented method, a computer system and a computer program product automatically generate product videos based on requested feature sets in stored data. the method includes acquiring a plurality of product features from a server, where each product feature in the plurality of product features is associated with data selected from a group consisting of: text data, audio data, and image data. The method also includes receiving a request for a product video, where a product in the product video comprises a set of product features in the plurality of product features. The method further includes identifying the data associated with each product feature in the set of product features for the request. Lastly, the method includes generating the product video based on identified data for the product.

Abstract: Provided is a computer-implemented method, system, and computer program product for displaying information to a pedestrian using a visual indicator. A processor may detect that a vehicle is approaching a pedestrian. The processor may determine that the pedestrian is unable to see the approaching vehicle. The processor may display an indication that the vehicle is approaching the pedestrian on an object the pedestrian can currently view.

Abstract: Aspects of the present disclosure relate to virtual reality (VR) based commerce experience enhancement. A set of user data associated with a user can be received. A session of a VR commerce environment can be initiated with the user. A set of products to include in the VR commerce environment can be selected based on the set of user data. A position and orientation of each of the products of the set of products within the VR commerce environment can be determined based on the set of user data. The set of products can be displayed within the VR commerce environment according to the determined position and orientation of each product of the set of products.

Abstract: Disclosed embodiments provide techniques for monitoring, detecting, predicting, and mitigating electrostatic electricity accumulation. Electrostatic electricity is detected within a premises, via multiple electrostatic electricity sensors. The electrostatic electricity sensors, also referred to as electrostatic charge sensors can detect electrostatic electricity and/or electrostatic potential. Disclosed embodiments acquire electrostatic electricity data from multiple sensors. Other mechanical activity is also acquired via sensors and/or computer vision techniques. The mechanical activity can include motion of machines and/or people. Disclosed embodiments correlate levels of electrostatic electricity data to mechanical activity using machine learning. The machine learning system is used to predict future levels of electrostatic electricity based on proposed and/or mechanical activity, as well as automatically invoke mitigation steps and generate alert messages.

Abstract: A valid combination of products is constructed from a set of products identified by a retailing backend system. The valid combination satisfies a condition of an offer. A product in the combination of product is a physical product located in a physical store. A social sentiment towards the product in social media data of a shopper is evaluated, and a rating of the product is computed using the evaluation. A location of the product in the store is obtained from the retailing backend system. The location of the product is overlaid on a view of the store, where the view is from a perspective of a location of the shopper, the shopper being physically situated in the store.

Abstract: Embodiments of the present invention provide an approach for providing in-vehicle predicted context-based proactive driving training using an autonomous vehicle. A knowledge corpus is established from a driver's previous driving experience. A potential driving context (or scenario) is identified for a forthcoming driving route. An experience gap analysis is performed between the driver's experience and the potential driving context. If an experience gap exists, an in-vehicle mixed reality driving training simulation is provided in a selected location by the autonomous vehicle. The driver's responses to the training simulation can optionally be monitored and a determination can made based on the driver responses as to the suitability of the driver to safely address the potential driving context.

Abstract: Provided is a computer-implemented method, system, and computer program product for intelligently assigning robotic edge devices to perform a task using an edge computing ecosystem. A processor may identify a plurality of robotic edge devices in a geographic location. The processor may determine attributes for each robotic edge device of the plurality of robotic edge devices. The processor may identify a task to be performed at the geographic location by the plurality of robotic edge devices. The processor may determine, based on the attributes, a subset of robotic edge devices that are capable of completing the task. The processor may assign the subset of robotic edge devices to complete the task.

Abstract: According to one embodiment, a method, computer system, and computer program product for biometric mixed-reality emotional modification is provided. The present invention may include collecting, by a plurality of biosensors, biometric information on a user during a mixed-reality session, wherein the biometric information comprises biomarkers; identifying, by one or more machine learning models, a mental state of the user based on the biometric information; and responsive to determining that the mental state does not match an intended emotion associated with a mixed-reality experience, modifying the mixed-reality experience with one or more virtual content elements.

Abstract: According to one embodiment, a method, computer system, and computer program product for selectively recording meetings is provided. The embodiment may include initiating a digital meeting. The embodiment may also include determining two or more rule sets, including one or more local rule sets, for selectively recording the digital meeting, wherein each rule set includes one or more rules. The embodiment may further include recording one or more recordings of the digital meeting according to each local rule set.

Abstract: Provided is a computer-implemented method, system, and computer program product for displaying information to a pedestrian using a visual indicator. A processor may detect that a vehicle is approaching a pedestrian. The processor may determine that the pedestrian is unable to see the approaching vehicle. The processor may display an indication that the vehicle is approaching the pedestrian on an object the pedestrian can currently view.

Abstract: In an approach to improve the generation of a virtual object in a three-dimensional virtual environment, embodiments of the present invention identify a virtual object to be generated in a three-dimensional virtual environment based on a natural language utterance. Additionally, embodiments generate the virtual object based on a CLIP-guided Generative Latent Space (CLIP-GLS) analysis, and monitor usage of the generated virtual object in the three-dimensional virtual space. Moreover, embodiments infer human perception data from the monitoring, and generate a utility score for the virtual object based on the human perception data.

Abstract: A computer-implemented method, in accordance with one embodiment, includes monitoring contextual information of a vehicle during operation thereof. A determination is made that a condition is met to project, by a vehicle-based projection system mounted to the vehicle, a projection indicative of a contextual condition associated with the vehicle. In response to the determination that the condition is met, the projection indicative of the contextual condition is projected.

Abstract: Systems, methods, and computer program products for selectively customizing, modifying and changing performance parameters, capabilities and behaviors of AI devices within AI device networks by sharing user-selected portions of a knowledge corpus with other AI device networks. Selectively sharing parameters, learned behaviors, capabilities, and features of the knowledge corpus allows for AI devices within a second AI device network to mimic, clone or recreate the performance or behaviors of AI devices operating within the environment of a first AI device network. Users can create portable nodes that travel with the user and upon connecting with the second device network, identify AI devices that can be modified using the portions of the knowledge corpus to recreate selected portions of the first AI device network within the environment of the second AI device network either permanently or for a user-selected amount of time.

Abstract: One or more computer processors detect a computing device within a proximity to a rollable device. The one or more computer processors determine a location and an orientation of the rollable device relative to the computing device. The one or more computer processors attach the rollable device to the computing device utilizing the set of biometric locks engaged programmatically such that at least one side of the rollable device is locked and hinged to the computing device. The one or more computer processors responsive to the rollable device attached to a side of the computing device, extend a display area of the computing device to the rollable device.

Abstract: Disambiguation of search keywords to expert systems is performed through the application of a semantic ranking function to determine a classification category with confidence for a given query. The semantic ranking function is executed through an application of a semantic distance distribution profile score through analysis of user problem statement (UPS) with nodes in the taxonomy in the same vector space to create a search that combines a user problem statement and a taxonomical node in the search engine index. The distribution profile score calculation is provenance influenced to derive geographic, cultural, and demographic provenance for a user problem statement.

Abstract: Described are mechanisms for multi-nozzle additive manufacturing. The mechanisms include a three-dimensional printer including a primary print head with a primary nozzle. The three-dimensional printer further includes a nozzle print head configured to print different nozzles for additive manufacturing of an object. The three-dimensional printer further includes a secondary nozzle printed by the nozzle print head, and the three-dimensional printer is configured to print the object using the primary print head, the primary nozzle, and the secondary nozzle.

Abstract: A computer-implemented method, a computer system and a computer program product control participant interaction within remote meeting sessions. The method includes capturing participant data using a device, where the participant data is associated with a participant within the remote meeting session and is selected from a group consisting of: audio data, image data and text data. The method also includes identifying an event in the participant data. The method further includes determining that the participant has not modified a participant interaction mode. Lastly, the method includes modifying the participant interaction mode of the participant when the event is classified as causing a change of the participant interaction mode.

Abstract: Determining contextual relevance of images to automatically generate notifications is provided. An analysis of an image is performed using a set of machine learning models. A context of a current environment of a user captured in the image is determined based on the analysis of the image. A comparison of the context of the current environment of the user is performed against the known information stored in the knowledge corpus. An insight corresponding to the user activity is generated based on the comparison of the context of the current environment of the user against the known information stored in the knowledge corpus. The insight identifies a set of interested parties corresponding to the user who are to be notified and provides proactive assistance to the user to automatically generate a notification in real time. The notification is generated containing the insight corresponding to the user activity.

Abstract: According to one embodiment, a method, computer system, and computer program product for determining acoustics in a workplace is provided. The present invention may include performing digital twin simulation of sound generation and at least one machine in the workplace; calculating one or more resultant sound fields in the workplace; identifying sound cancellation potential of a worker's sound cancellation protection; and determining if the worker is wearing proper sound cancellation protection based on the one or more resultant sound fields in the workplace and the sound cancellation potential of the worker's sound cancellation protection.

Abstract: A computer-implemented method for airflow control for agricultural pollination is disclosed. The computer-implemented method includes performing image analysis on an agricultural image to determine a type and classification of one or more plants in the agricultural image, determining one or more pollination requirements for the one or more determined plants, determining one or more current airflow parameters within a predetermined area of the one or more plants in the agricultural image, determining one or more optimal airflow parameters based on the type of plants in the agricultural image, the classification of plants in the agricultural image, the one or more pollination requirements for the plants in the agricultural image, and the one or more current airflow parameters, and generating an automatic airflow adjustment model for optimizing the airflow parameters for the plants based, at least in part, on the one or more determined optimal airflow parameters.