Abstract: A computer-implemented method, a computer system and a computer program product customize delivery of transactional documents. The method includes receiving a transactional document associated with a user. The method also includes obtaining a preferred document format for the user and a preferred delivery method for the user from a database. The method further includes identifying a current display format of the transactional document. In addition, the method includes modifying the current display format of the transactional document, wherein a modified transactional document has the preferred document format for the user. Lastly, the method includes transmitting the modified transactional document to the user using the preferred delivery method for the user.

Abstract: A computer-implemented method for training a large language model (LLM) on a plurality of programming languages to recognize common coding patterns and generating, using the trained LLM, software code based on user-defined inputs. The method further includes analyzing the generated software code to identify destructive code and determining a reversal of the generated software code from a current state to a previous state is required based on the destructive code. Responsive to the determining that a reversal is required, the method may include running the generated software code comprising the destructive code in a controlled and isolated environment and providing a user with a reversal function that causes the generated software code to revert from the current state to the previous state. The method further includes executing the generated software code.

Abstract: Generation and use of screenshots of interactive displays are provided. A screenshot is received. The screenshot comprises an area of an interactive display. An interactive object is identified within the area of the interactive display. The interactive object corresponds to a function. A simulated interactive object corresponding to the interactive object is generated. The simulated interactive object corresponds to the function. A composite screenshot comprising the screenshot and the simulated interactive object is rendered for display, on a display.

Abstract: Embodiments of the disclosure provide systems and methods for implementing 3D printing to manufacture 3D print objects with dynamic adjustment of 3D print infill specifications based on determined regions of stress points in a given 3D device design. A disclosed method comprises receiving a 3D object design for a 3D device to be printed; determining, based on the 3D object design and a trained model, a region of the 3D object with a projected likelihood of human interaction above a threshold likelihood; and generating, based on the determined region of the 3D object, instructions to selectively adjust one or more print infill specifications at the region.

Abstract: An embodiment includes detecting by a Hardware Management Component of a datacenter, a failure of a hardware in the datacenter. The embodiment includes responsive to the detecting, determining by an Asset Manager Component, a lead time for a replacement of the failed hardware. The embodiment includes determining by the Hardware Management Component a replacement decision based on a priority of a workload deployed on the failed hardware and the lead time. The embodiment includes deciding by the Hardware Management Component whether to replace the failed hardware with a substitute hardware from a lower priority system of the datacenter based on the replacement decision. The embodiment also includes adjusting by a Workload Controller Component the workload deployed on the failed hardware based on the replacement decision.

Abstract: Techniques are described with respect to a system, method, and computer program product for merging augmented reality experiences into an augmented reality environment. An associated method includes determining a first augmented reality experience of a first user and a second augmented reality experience of a second user; analyzing a plurality of environmental contextual data associated with the first augmented reality experience and the second augmented reality experience; and based on the analysis, generating a merged augmented reality environment comprising the first user and the second user.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program product, and computer systems. One or more processors can monitor file revision history of a filesystem. The one or more processors generate a remedial action based on previous user interaction behavior in response to detecting a failed interaction with a file in the filesystem. The one or more processors execute the remedial action that retrieves the file.

Abstract: Methods and systems for heat treatment include determining heat treatment needs for a three-dimensional (3D) object. A heating structure is designed to supply the heat treatment needs of the 3D object. The heating structure is assembled from modular heating structures that include heating elements. Heat treatment is performed on the 3D object using the heating structure.

Abstract: Dynamic updating of content viewership alignment based on aggregate viewer metadata is provided. In some embodiments, a virtual meeting schedule is read. The virtual meeting schedule includes a list of attendees and one or more pieces of content. Attendee data and content history are captured for each attendee based on the list of attendees. The content history is aggregated for the list of attendees. A relevancy score is generated for each of the one or more pieces of content based on the aggregated content history. Generating the relevancy score comprises determining a similarity component between each piece of content and the content history, determining a familiarity component based on each attendee, and an interaction component based on the content history. Each piece of content is annotated according to its relevancy score. The annotated one or more pieces of content are outputted in the virtual presentation system.

Abstract: According to one embodiment, a method, computer system, and computer program product for providing optimized automated note-taking. The embodiment may include transcribing audio data of a current user interaction into text data. The embodiment may include analyzing the text data using natural language processing to identify a context of the current user interaction. The embodiment may include generating, via a generative artificial intelligence (GenAI) model, one or more summaries of contextually relevant portions of the text data. The embodiment may include creating one or more prompts for the GenAI model based on the one or more summaries. The embodiment may include querying the GenAI model using the one or more prompts and using one or more existing prompts from a previous user interaction to identify a contextual opportunity for notification. The embodiment may include notifying a user of the contextual opportunity for notification during the current user interaction.

Abstract: A code commit facility is provided operatively coupled to a continuous integration continuous deployment system to assist in addressing a failing code change during updating of a software application. The code commit facility includes generating discrete code change packages from the failing code change by separating independent code change files of the failing code change into the discrete code change packages. Further, the code commit facility deploys the discrete code change packages and based on the deploying, detects a failing discrete code change package. Based on detecting the failing discrete code change package, the code commit facility rolls back one or more code change files of the failing package, absent rolling back one or more other code change files of one or more other discrete code change packages to restructure the failing code change for deployment using the continuous integration continuous deployment system.

Abstract: Mechanisms are provided for performing an artificial intelligence (AI) based drive-through transaction. A digital image capturing device, in response to a vehicle entering a drive-through, captures a digital image of the vehicle. A computer vision operation is executed on the digital image to analyze data patterns and identify an identity of individual(s) within the vehicle. User profile(s) are retrieved that correspond to the individual(s) within the vehicle. A customized menu of products and/or services is generated based on user profile information and one or more menu items are pre-selected from the customized menu based on contextual information derived from at least one of audio or digital image data received during the drive-through transaction. A menu presentation computing device, located in the drive-through, is controlled to present the pre-selected menu item(s) and the customized menu.

Abstract: Methods and systems for interface modulation include recording interactions by a device operator with an original interface of the device. A function of the original interface is determined using a trained predictive model that receives sequences of the interactions. A three-dimensional (3D) design is generated for a new interface that includes an indicator of the function. A new interface is fabricated according to the 3D design using an additive manufacturing process.

Abstract: Embodiments determine at least one product interest based on user information, receive historical data from a plurality of users, train a convolutional neural network (CNN) model based on the historical data, determine a plurality of user task interactions related to the at least one product interest based on the trained CNN model, monitor the user task interactions for a user product related to the at least one product interest over a predetermined period of time, generate a digital twin of a comparative product to the user product based on the monitored user interactions, generate user performance metrics including a return on investment (ROI) of the generated digital twin, and generate a recommendation to purchase a product of the at least one product interest based on the generated user performance metrics including the ROI being greater than a cost of the product.

Abstract: A computer-implemented method for battery design includes determining operational shock and vibration imparted to a solid-state battery and determining portions of the solid-state battery susceptible to damage. Countermeasures are selected for the portions by identifying shock and vibration elements and positions for the shock and vibration elements in the solid-state battery. A three-dimensional (3D) design for a new solid-state battery including the countermeasures is generated. The new solid-state battery is fabricated according to the 3D design using an additive manufacturing process.

Abstract: Described are techniques for caching a data payload on a peripheral device for delivery to a target device. The techniques include receiving, at a peripheral device via a short-range wireless protocol, a data payload intended for a target device, where the data payload is received from a source device configured to send the data payload to the target device. The techniques further include storing the data payload in a memory of the peripheral device for a time that allows the peripheral device to be placed in network proximity of the target device and transfer the data payload from the peripheral device to the target device. The techniques further include detecting the target device via a short-range wireless network, and sending the data payload to the target device via a short-range wireless protocol used by the target device.

Abstract: Software product optimization is provided. Expressed sentiment in a set of opted in user-to-user business-related conversations among a group of users corresponding to an entity is associated with a software product in response to determining that the software product is identified by mentioned keywords in the set of opted in user-to-user business-related conversations based on a keyword corpus. It is determined whether the expressed sentiment associated with the software product is negative sentiment. A related software product listed in a software product catalog of the entity is identified as an optimization to the software product in response to determining that the expressed sentiment associated with the software product is negative sentiment. A recommendation to implement the related software product as the optimization to the software product is generated. The recommendation to implement the related software product as the optimization to the software product is sent to the group of users.

Abstract: A computer-implemented method, a computer system and a computer program product authenticate devices using remote mutual identification. The method comprises determining that a network device requires management, where the network device is deployed in a location. The method also comprises identifying a trusted device, where the trusted device is within a range of the location of the network device. The method further comprises establishing a trust relationship between the trusted device and the network device. Lastly, the method comprises enabling management access to the network device based on the trust relationship.

Abstract: An embodiment includes detecting by a Hardware Management Component of a datacenter, a failure of a hardware in the datacenter. The embodiment includes responsive to the detecting, determining by an Asset Manager Component, a lead time for a replacement of the failed hardware. The embodiment includes determining by the Hardware Management Component a replacement decision based on a priority of a workload deployed on the failed hardware and the lead time. The embodiment includes deciding by the Hardware Management Component whether to replace the failed hardware with a substitute hardware from a lower priority system of the datacenter based on the replacement decision. The embodiment also includes adjusting by a Workload Controller Component the workload deployed on the failed hardware based on the replacement decision.

Abstract: An embodiment for converting quantitative engines to fuzzy qualitative engines is provided. The embodiment may include receiving one or more payloads including one or more data values. The embodiment may also include processing one or more quantitative values in the received one or more payloads. The embodiment may further include executing a table mapping between the processed one or more quantitative values and one or more qualitative values. The embodiment may also include training a rule engine with the table mapping as a first input to the rule engine.