Abstract: A method, computer system, and a computer program product are provided for multi-dimensional printing. A printing request for printing tan object with at least one component is received. Information is obtained about the specifics of the object from a knowledgebase corpus database including at least a material requirement for printing of the object. The number of associated components and material and geometric requirements of each component and the object is analyzed. An output model is generated using at least one machine learning optimization model. The output model is generated based on the information obtained about the object and the analysis of the object's geometry and material requirements. The output model is stored in the knowledgebase corpus database.

Abstract: In an approach to improve the management of operating vehicles through smart contracts, embodiments generate a priority score based on received sensor feeds from a vehicle, co-located vehicles, and a smart contract rule. Further, embodiments assign the priority score to the vehicle and the co-located vehicles and the co-located vehicles and identify that the assigned priority score of the vehicle is higher than the co-located vehicles. Additionally, embodiments manage an operation of the co-located vehicles through a computing device within the co-located vehicles based on the smart contract rule and the priority score and create a priority lane for the vehicle by repositioning the co-located vehicles.

Abstract: Embodiments of the invention are directed to a computer-implemented method that includes accessing, using a processor system, a three-dimensional (3D) model of a device-under-design (DUD). The processor system is used to receive a first design operation associated with the 3D model of the DUD. A collaboration dependency model is used to make a prediction of a dependency relationship between the first design operation and a second design operation.

Abstract: A computer-implemented method, according to one embodiment, includes identifying a plurality of user devices determined to run a predetermined software version and a predetermined application. A first of the identified user devices is assigned to be a primary user device, and a second of the identified user devices is assigned to be a first backup user device. In response to a determination that the first identified user device launches the predetermined application, the second identified user device is caused to launch the predetermined application. In response to a determination that the first identified user device experiences a predetermined interruption event while using the predetermined application, the second identified user device is assigned to be the primary user device and the first identified user device is assigned to be the first backup user device.

Abstract: The present inventive concept provides for a method of autonomous driving road space reservation and adaption. The method includes determining a target location of a first vehicle. Road space is reserved for the first vehicle at the target location. The reserved road space of the first vehicle is communicated to a second vehicle, and the driving plan of the second vehicle is adapted based on the communicated reserved road space of the first vehicle automatically before arrival.

Abstract: A V2X computing system to manage air quality by reducing carbon emissions by changing a vehicle mode of operation from fuel to battery. The system identifies the position of the vehicle and changes the mode of the vehicle to a target battery-based vehicle. The system calculates how much aggregated emission can be allowed within a defined time range around a geo-fencing area to identify appropriate distribution of battery-operated vehicle and fossil fuel-based vehicle to ensure the required air-quality. The system leverages historical data around environmental parameters like wind direction, speed, etc. for a period to calculate the emission requirements vs. predicted emission. The system uses this data to dynamically switch vehicle from using fuel power to battery power based on the capability available within the vehicle for environmental sustainability. The system further spaces vehicles appropriately to ensure the air quality is maintained on the road in a geo-fenced area.

Abstract: Embodiments detect a task keyword related to an offloaded task of a task-giver, train a machine learning (ML) model using the task keyword, determine that the task keyword is similar to a historical task by utilizing the trained ML model, record a user input in response to determining that the task keyword is similar to the historical task, freeze an action execution during a pseudo action before a finality action is executed, provide the recorded user input to the task-giver and requesting approval from the task-giver, and execute the offloaded task using robotic process automation (RPA) in response to receiving approval from the task-giver.

Abstract: An embodiment for personalizing target content in an outdoor digital display is provided. The embodiment may include receiving an opt-in from a user and digital out-of-home (DOOH) content from one or more IoT-enabled digital displays within a pre-defined range of the user. The embodiment may also include causing a mobile device of the user to connect to the one or more IoT-enabled digital displays within the pre-defined range. The embodiment may further include identifying one or more target interest parameters associated with the user. The embodiment may also include in response to determining the DOOH content from at least one IoT-enabled digital display of the one or more IoT-enabled digital displays is relevant to the user, displaying the DOOH content from the at least one IoT-enabled digital display that is relevant to the user on the connected mobile device of the user.

Abstract: Aspects of the present disclosure relate to collaborative rulesets for vehicles. A collaborative ruleset for a set of vehicles can be received, the collaborative ruleset defining relative positions each vehicle is required to maintain with respect to other vehicles within the set of vehicles. Sensor data indicating current positions of each vehicle within the set of vehicles while the set of vehicles are operating can be received. A command to display, on an augmented reality (AR) device of a user of a first vehicle within the set of vehicles, AR content for complying with the collaborative ruleset can be issued.

Abstract: An embodiment intercepts a first notification intended for a user. An embodiment identifies, by analyzing a currently occurring interaction including the user, a lull in the interaction. An embodiment delivers during the lull, the first notification to the user.

Abstract: A method, computer system, and a computer program product for sustainable power harvesting is provided. The present invention may include constructing a knowledge corpus using data received from a plurality of sources regarding electrical power harvesting from smart materials. The present invention may include determining one or more objects to be utilized for generating electrical power, wherein the one or more objects are comprised of at least one or more smart materials. The present invention may include generating printing instructions for the one or more objects to be executed by a three-dimensional (3D) printer. The present invention may include monitoring a performance of the one or more objects within an environment.

Abstract: A digital model is generated of a debris location where the digital model includes an augmented reality overlay of the debris location. Digital data from sensors at a debris field is received at a computer, and the digital data depicts debris in the debris field. Materials in the debris field are detected and identified based on the detected materials in the debris field. Layers of materials in the debris field are identified. A digital model is generated of the materials in the debris field including in the layers. Using the computer and an augmented reality (AR) device, an augmented reality overlay is generated based on the digital model of the materials in the debris fields. The augmented reality overlay is superimposed over the digital model of the materials in the debris field to indicate the materials in the debris field and the materials in the layers of the debris field.

Abstract: An embodiment includes classifying an incoming communication message as having an instruction classification based on a natural language processing (NLP) analysis of the incoming communication message. The embodiment extracts, responsive to classifying the incoming communication message as having the instruction classification, user operations as a workflow dataset. The embodiment clusters the workflow dataset into a task cluster with other similar workflow datasets representative of previously-extracted user operations. The embodiment designates the instruction classification as a trigger event based at least in part on the NLP analysis of the incoming communication message. The embodiment generates a robotic process automation (RPA) bot script that comprises program instructions executable by a processor to cause the processor to perform operations that automate the user operations in response to the trigger event.

Abstract: An embodiment intercepts a first notification intended for a user. An embodiment identifies, by analyzing a currently occurring interaction including the user, a lull in the interaction. An embodiment delivers during the lull, the first notification to the user.

Abstract: An embodiment for augmented reality (AR)-based visualization of an activity with collaboration amelioration is provided. The embodiment may include receiving real-time and historical data relating to an activity. The embodiment may also include identifying each step of the activity and a time to complete each step. The embodiment may further include executing a plurality of digital twin simulations of avatars of different types of workers performing each step of the activity. The embodiment may also include in response to determining a current distribution of human and robotic workers is not optimized, prompting a manager with an AR overlaid slider bar. The embodiment may further include generating a knowledge corpus including an optimized distribution. The embodiment may also include creating a visual animation of the optimized distribution. The embodiment may further include displaying the visual animation to at least one human worker via an AR device.

Abstract: Cropping volumetric media is provided. Received volumetric video data is represented by a Bloch sphere. A user selected sub-volume is received to which the volumetric video data is to be cropped. CNNs having different strides are applied to sub-spheres defined within the Bloch sphere. The CNNs generate a correlation score for each sub-sphere relative to a user specified parameter. Best rotation matrices for the sub-spheres are determined to achieve a user specified angle of view, and the sub-sphere correlation scores are optimized according to the best rotation matrices. Cylindrical weights are applied to the sub-spheres according to the optimized correlation scores, and a best solution is selected for the sub-volume according to the correlation scores. The rotation matrices are reflected orthogonally onto the sub-volume, and the sub-volume is cropped from the volumetric video according to the sub-sphere with the highest correlation score to create the cropped image.

Abstract: In an approach to improve risk assessment and management, embodiments monitor a predetermined area by collecting, by one or more sensing devices, data related to environmental conditions and spatial relationships between one or more objects in the predetermined area. Further, embodiments determine, based on a model and the monitoring, that an accidental event is likely to occur within a predetermined distance or within the predetermined area. Additionally, embodiments identify a predetermined mitigation action from a knowledge corpus to apply to the accidental event; and proactively implementing the identified mitigation action to prevent or manage the accidental event.

Abstract: Techniques for truncating long running language model conversation threads are provided. In one aspect, a language model thread truncation system includes: a language model; and a thread truncation module configured to obtain prompts and responses from a thread of user interactions with the language model during a conversation, cluster the prompts and responses based on their topical representation to create a cluster around a topic, and after a timing threshold has been reached, truncate the thread by removing the cluster from the thread if the current topic of the conversation differs from the topic of the cluster and if a reference value of the cluster is below a minimum value, otherwise retain the cluster in the thread. The reference value of the cluster can be determined based on individual reference scores for the prompts and responses in the cluster. A method for language model thread truncation is also provided.

Abstract: In an approach for providing a user with a set of information on a feature of a comparable product and enabling the user to assess the feature by overlaying the user's product with a digital twin of the comparable product, a processor identifies a first product in a surrounding of the user by comparing an image of the first product to one or more images stored in a product corpus. A processor searches, based on the first product, the product corpus for one or more products within a family of the first product. A processor selects a second product from the product corpus based in part on a set of product comparison preferences. A processor overlays the first product with a digital twin of the second product. A processor simulates a feature associated with the second product that is different from a feature associated with the first product.

Abstract: A method, computer system, and a computer program product for multi-content interactions is provided. The present invention may include detecting a user engaging with a first content and a second content simultaneously. The present invention may also include determining that the user is more engaged with the second content relative to the first content. The present invention may further include executing a content preserving action to enable the user to reengage with the first content without missing any segments of the first content.