Abstract: Provided are a computer program product, system, and method for dispatching autonomous vehicles to provide required resources to an electronic device at a target location to provide a service. A determination is made of required resources consumed by an electronic device at the target location to provide a service to the target location. Additional resources needed to provide the required resources to the electronic device are determined in response to determining that the available resources at the target location are less than the required resources to provide the service. A determination is made of at least one autonomous vehicle available to dispatch to the target location to make the additional resources available to the electronic device. Commands are sent to the at least one autonomous vehicle to control the at least one autonomous vehicle to travel to the target location to provide the additional resources to the electronic device.

Abstract: According to one embodiment, a method, computer system, and computer program product for mixed reality is provided. The present invention may include identifying one or more available spare parts in a physical location; analyzing the one or more available spare parts; analyzing one or more bill of materials to identify one or more end products that may be manufactured using one or more combinations of the one or more available spare parts; performing digital twin simulation of the one or more identified end products that may be manufactured to determine required quality of the one or more identified end products; creating one or more digital models of the one or more identified end products that may be manufactured; and displaying the one or more digital models in a mixed reality simulated environment to depict physical space needed to store the one or more identified end products that may be manufactured.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to determination of a variable input value based on a known output value. The computer-implemented system can comprise a memory that can store computer executable components. The computer-implemented system can further comprise a processor that can execute the computer executable components stored in the memory, wherein the computer executable components can comprise a neural network model that can determine a value for at least one variable input parameter in a first dataset, based on one or more fixed input parameter values in the first dataset and one or more respective fixed input parameter values in a second dataset, such that the value can yield a known output value in the first dataset.

Abstract: According to one embodiment, a method, computer system, and computer program product for managing artificial intelligence (AI) orchestration of machines and internet-of-things (IoT) devices of an industrial floor. The embodiment may include identifying a change in capability of at least one machine and/or IoT device of the industrial floor. The embodiment may include identifying executable functionality resulting from the identified change. The embodiment may include identifying one or more artificial intelligence (AI) software patches to perform the identified executable functionality. The embodiment may include installing the identified one or more AI software patches within the at least one machine and/or IoT device.

Abstract: An embodiment includes identifying a robot that is available to perform a task involving an asset in a data center. The embodiment transmits a script to the robot that includes commands corresponding to actions to be executed by the robot in performing the task and transmits a dispatch command to the robot configured to enable the robot to travel from a robot resting place to the asset to begin the task. The embodiment relays a verification request received from the robot after the robot has completed a portion of the task to the vendor. The embodiment also relays, responsive to the verification request, an updated script based on updated instructions from the vendor for dynamically modifying the task to correcting an irregularity. The embodiment transmits, responsive to completion of the task, a recall command to the robot configured to enable the robot to travel from the asset to the robot resting place.

Abstract: Systems and methods are provided for detecting and repelling bird species approaching a wind farm, using targeted ultrasonic/sonic frequencies. A zone of vulnerability boundary is set around the wind farm at which bird repellers start responding to instructions to broadcast ultrasonic/sonic. Based on the received plurality of images, at least one bird species is identified as approaching the zone of vulnerability boundary. The bird repellers receive instructions to broadcast beginning with the calculated starting ultrasonic/sonic frequency, and incrementally increasing or decreasing the starting ultrasonic/sonic frequency in response to the at least one identified bird species continuing to approach or to move away from the zone of vulnerability boundary. A learning model is updated with statistics, which the identified plurality of bird species and the ultrasonic/sonic frequency receiving the optimal response from the identified plurality of bird species.

Abstract: According to one embodiment, a method, computer system, and computer program product for agricultural earthworm management is provided. The present invention may include identifying a crop type and a growth stage associated with a plant cultivated within an agricultural sector; estimating a nutrient requirement and a water requirement associated with the plant based on the crop type and the growth stage; determining a desired soil moisture value for the agricultural sector based on the nutrient requirement, the water requirement, an earthworm productivity, a soil moisture and a soil temperature; and operating an irrigation system to adjust the soil moisture of the agricultural sector to match the desired soil moisture value.

Abstract: A method for selecting a sequence of battery usage in EVs. The method includes identifying a health status of each battery in a battery pack, wherein the health status comprises power availability. The method further includes configuring usage of each battery individually, based on the identified health status of each battery in the battery pack, and estimating a power requirement for a context of travel, wherein the context of travel comprises at least one or more of the following: a selection of a route; road parameters; weather parameters; traffic conditions; and additional power required by a vehicle for various services to a user. The method further includes selecting a sequence of battery usage, for each battery in the battery pack, based on the estimated power requirement for traveling the route.

Abstract: A system for three-dimensional (3D) printing. The system includes: a printing head for printing a material including a photosensitive resin; a first ultraviolet (UV) light source; and, a controller configured to direct the printing head to print a layer of the material, calculate an appropriate strength of UV radiation in a first UV beam to solidify the layer, and direct the first UV light source to project the first UV beam at the appropriate strength to the layer, wherein the printing head includes a semitransparent nozzle configured to allow the first UV beam to be transmitted through the semitransparent nozzle.

Abstract: A power transfer system is presented including a smart road having a first power line, a second power line, and a plurality of wireless smart road power receive components, a plurality of electric vehicles (EVs) traveling on the smart road, each of the EVs having a wireless EV power transfer component and a wireless EV power receive component, and a power grid electrically connected to the first and second power lines of the smart road to receive power from the plurality of EVs as the plurality of EVs travel on the smart road.

Abstract: A processor may automatically select a cloud service provider. A processor may receive one or more parameters associated with an entity and a cloud service dataset associated with a provider. A processor may generate a digital twin of the entity using the one or more parameters. A processor may simulate the digital twin of the entity and the cloud service dataset. A processor may identify, responsive to simulating the digital twin of the entity and the cloud service dataset, one or more predicted conditions of cloud service dataset on the entity. A processor may select the provider based, at least in part, on the one or more predicted conditions.

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: 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: 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: 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: 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: 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: Embodiments are provided for upgrading operating application in a multi-device ecosystem in a computing environment. Various types of computing devices are determined to be connected to a multi-device computing network. A collaboration plan is generated between the computing devices to execute an operating application operation event on each of the computing devices without interrupting user activities executing on each of the computing devices. Operating applications on each of the computing devices are upgraded according to the collaboration plan without interrupting each of the f user activities on each of the computing devices.

Abstract: In an approach to automated protection of delivered packages, a computer receives information associated with a package delivery. A computer determines a recipient is not present for the package delivery. A computer predicts a time of arrival of the recipient. A computer determines a duration of time prior to the arrival of the recipient exceeds a pre-defined threshold. A computer determines one or more environmental conditions of an area surrounding a delivery location. A computer determines at least one of the one or more environmental conditions indicates a need for an ameliorative action associated with the package delivery. A computer determines one or more ameliorative actions. A computer instructs a delivery resource to perform the one or more ameliorative actions. A computer instructs the delivery resource to deliver the package.

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.