Abstract: Described are techniques for evaluating the readiness level in the industrial floor infrastructure and automation software to ensure that the appropriate automation software is being utilized to control the appropriate industrial floor infrastructure. A digital twin simulation is created and executed to analyze the capabilities of the industrial floor infrastructure in view of an update to the automation software to identify capabilities of the updated automation software that are utilized by the existing capabilities of the industrial floor infrastructure. Recommendations may then be provided to upgrade, replace, install and/or perform proactive maintenance of the industrial floor infrastructure to further utilize the capabilities of the updated automation software if the capabilities of the updated automation software are not being utilized with the existing capabilities of the industrial floor infrastructure at an acceptable level.

Abstract: A computer-implemented method for determining context granularity is provided. The computer-implemented method includes determining an activity for a user and a distance between the user and a location of the activity, ascertaining a contextual information granularity level for displaying contextual information relevant to the activity in an augmented reality (AR) interface in accordance with the distance, displaying the contextual information corresponding to the contextual information granularity level in the AR interface, updating the contextual information granularity level as the distance changes to obtain a new contextual information granularity level and displaying the contextual information corresponding to the new contextual information granularity level in the AR interface.

Abstract: Systems and methods are provided for recovering LED light in indoor multi-level farms. A plurality of cameras and sensors capture in real time in a vertical farm environment a plurality of camera images and sensor data. The camera images include physical images of the vertical farm environment, and the sensor data includes light data. The camera images and sensor data are analyzed to identify a pattern of light origin and direction in the vertical farm environment. The plant characteristics are identified based on comparing the captured camera images, using image recognition, against a model. Based on the identified plant characteristics, manipulating the light data. The plant characteristics include plant species growth state and general health. The light is manipulated by breaking it into component visible light wavelengths. The model predicts optimizing the redirecting of the optimal wavelengths for improved plant growth.

Abstract: A computer-implemented method, a computer system and a computer program product display a projection of driving risk to a vehicle from activity in the surrounding area. The method includes acquiring a vehicle path from the vehicle. The method also includes capturing driving conditions from the surrounding area using a sensor and recognizing an object in the surrounding area that is transmitting relevant data. The method further includes identifying a high-risk object in the surrounding area by calculating a risk score for the object relative to the vehicle based on the vehicle path and intended movements of the object and classifying the object as the high-risk object when the risk score is above a risk threshold for the vehicle. Lastly, the method includes generating an augmented reality display of the surrounding area using an augmented reality device, wherein the augmented reality display of the surrounding area indicates the high-risk object.

Abstract: Described are techniques for optimizing a target automated ecosystem. Requirements of the target automated ecosystem are received. A digital twin simulation of one or more reference automated ecosystems implementing the requirements of the target automated ecosystem are created and executed. Furthermore, a digital twin simulation of the target automated ecosystem is created and executed to implement the requirements of the target automated ecosystem. A comparative analysis is then performed between the digital twin simulations of one or more reference automated ecosystems and the target automated ecosystem. Based on the comparative analysis, the infrastructure implemented and/or processes executed by the reference automated ecosystem(s) with an improvement over the infrastructure implemented and/or processes executed by the target automated ecosystem that exceeds a threshold value, which may be user-selected, are identified.

Abstract: Disclosed are techniques for dynamic compression of audio-visual data, including a digital encoding method, digital compression method, and a system. One embodiment of the digital encoding method may comprise identifying a scene projected onto a sensor, wherein the scene comprises a plurality of objects. Some embodiments may further comprise analyzing the plurality of objects to determine which of the plurality objects can be redeveloped by a GAN regeneration module to a threshold quality level and which of the plurality of objects cannot be redeveloped with the GAN regeneration module to the threshold quality level. Some embodiments may further comprise generating an optimized capture plan based on the analyzing. Some embodiments may further comprise encoding the scene pursuant to the optimized capture plan to produce a digital media file.

Abstract: An embodiment establishes an interaction database based at least in part on interaction data representative of user engagement with a set of features of an application. The embodiment measures user engagement with each feature of the set of features. The embodiment calculates a familiarity score for each feature of the set of features based at least in part on measured user engagement. The embodiment constructs a subset of features of the set of features, wherein the subset of features is characterized by low familiarity score. The embodiment generates at least one recommendation to utilize at least one feature of the subset of features. The embodiment assesses a focal state of a user based on a focal state indicator metric. The embodiment displays the recommendation on a user device at an optimal time, wherein the optimal time is based at least in part on the focal state of the user.

Abstract: System and methods for type ahead search amelioration based on image processing are provided. In embodiments, a method includes: capturing, by a computing device, image data based on images viewed by a user during a computing session; converting, by the computing device, the image data to text using image processing; and storing, by the computing device, the text in a temporary buffer of a type ahead search function, wherein the text constitutes image context data for use by the type ahead search function.

Abstract: Methods, systems, and a computer program product are disclosed. The first method includes obtaining virtual session data in real time, identifying a positional utterance in the virtual session data, and generating a positional insight for the positional utterance. The first method also includes rendering a user avatar in a position recommended based on the positional insight. The second method includes obtaining virtual session data in real time, identifying a positional utterance in the virtual session data, and generating positional insights for the positional utterance. The second method also includes generating at least one position recommendation based on the positional insights.

Abstract: A method, computer system, and a computer program product for insurance premium determinations is provided. The present invention may include generating a baseline insurance coverage policy for an object. The present invention may include presenting a user with the baseline insurance coverage policy prior to an operation of the object. The present invention may include monitoring the operation of the object by the user.

Abstract: An approach for providing real-time information and guidance for oxygen management to a user operating a self-contained breathing apparatus (SCBA) is disclosed. The approach receives data from IoT devices associated with a user, analyzes the data using machine learning algorithms trained on a dataset of historical data and simulated scenarios. The approach generates an oxygen-use prediction based on the analyzing. Furthermore, the approach generates one or more recommendations based on the prediction and displaying the prediction and the recommendation on a HUD (head up display) of a user.

Abstract: An embodiment for scheduling activities through virtual reality (VR) based on predicted events is provided. The embodiment may include receiving real-time data relating to a predicted event and historical data relating to a corresponding past event. The embodiment may also include identifying a context of the predicted event. The embodiment may further include generating a VR simulation of the predicted event. The VR simulation may include an avatar of a user in a surrounding environment of the predicted event. The embodiment may also include scheduling one or more activities for the user in response to one or more scheduling actions of the user. The embodiment may further include recommending one or more additional activities to the user.

Abstract: A method for extending the range of a delivery drone is disclosed. In one embodiment, such a method includes enabling a customer of a supply chain provider to selectively include a drone charging station of the customer in a drone charging network of the supply chain provider. The method gathers parameters associated with the drone charging station and updates a drone charging map of the supply chain provider to include the drone charging station and its associated parameters. The method further generates, on behalf of the supply chain provider, a delivery plan that utilizes the drone charging station included in the drone charging network. The customer is compensated, by the supply chain provider, for utilization of the drone charging station in executing the delivery plan. A corresponding system and computer program product are also disclosed.

Abstract: A method for rendering clear visibility through the windscreen of a vehicle. The method includes monitoring, by one or more sensors, visibility of a windscreen, wherein monitoring includes analyzing a level of visibility of the windscreen, generating a visibility score, and responsive to the visibility score falling below a predetermined threshold, converting, dynamically, the windscreen into a display surface. The method further includes analyzing an external sensor feed of a vehicle to identify the visibility of a surrounding area. The method further includes initiating, dynamically, a generative adversarial network (GAN) enabled adaptation of the surrounding area of the vehicle, in real-time, to reconstruct a visual based on the external sensor feed, and rendering, in real-time, the GAN enabled adaptation of the surrounding area of the vehicle on a transparent display layer of the windscreen of the vehicle.

Abstract: A 3D printed dental implant. The 3D printed dental implant includes a 3D printed dental implant body, and a plurality of sensors embedded within the 3D printed dental implant body.

Abstract: A method, computer system, and a computer program product are provided for authenticating a user. An image of a skin portion of the user is obtained. One or more landmarks are identified from the image obtained. The landmark includes at least one skin anomaly. Each identified landmark is analyzed at least with respect to location, form, dimensions and distances between landmarks and body parts. A unique signal is generated based on the identification and analysis of one or more landmarks. The unique signal is then stored for authentication of the user.

Abstract: The present invention may include a computing device that receives root data, where the root data comprises a plurality of datasets. The computing device determines a context of each dataset within the plurality of datasets. The computing device identifies one or more users based on monitoring behavior of the one or more users related to each dataset. The computing device appends metadata associated with each dataset within the plurality of datasets with the determined context and the one or more identified users and setts access restrictions to each dataset in the metadata based on the context and the one or more identified users.

Abstract: A processor may receive user profile data associated with one or more users. The processor may generate a user training corpus for conversing with the one or more users. The processor may generate, based on the user training corpus and user profile data, an optimal template script for conversing with the one or more users.

Abstract: Described are techniques for defect mitigation in additive manufacturing. The techniques including a system having one or more computer-readable storage media storing a sliced model file of an object to be manufactured and a machine learning model configured to predict an error in the sliced model file and generate corrective printing parameters. The system further includes a Fused Filament Fabrication (FFF) three-dimensional (3D) printer communicatively coupled to the one or more computer-readable storage media. The FFF 3D printer is configured to print the object according to the sliced model file and the corrective printing parameters.

Abstract: In an approach to validating and filtering mixed reality content, one or more computer processors receive a request for mixed reality content from a user. One or more computer processors retrieve the mixed reality content. One or more computer processors determine a mobility of the user in a physical environment. One or more computer processors determine the mixed reality content does not comply with at least one pre-defined policy associated with a physical location boundary within the physical environment. One or more computer processors filter the mixed reality content to comply with the at least one pre-defined policy. Based on the mobility of the user in the physical environment, one or more computer processors process the filtered mixed reality content. One or more computer processors display the filtered mixed reality content.