Abstract: A distributed data platform is able to predict whether data stored on a first network infrastructure component will be needed by a second network infrastructure component and prepares the data to be transmitted to the second network infrastructure component. The distributed data platform identifies a plurality of network infrastructure components connected to a network, and identifies data present on each component. The distributed data platform receives an indication that an event has occurred on the network and predicts whether the second network infrastructure component will require data stored by the first network infrastructure component. The distributed data platform prepares the data to be transmitted to the second network infrastructure component, and transmits the data after receiving an indication that the second network infrastructure component requires the data.

Abstract: Systems, computer program products, and methods are described herein for optimized data archival using data detection and classification model. The present invention is configured to receive information associated with a first data element within a distributed network environment; determine a first data type associated with the first data element; determine one or more archival actions associated with the first data element; determine one or more archival requirements associated with the first data element; determine one or more utilization parameters associated with the first data element; initiate an execution of the one or more archiving actions on the first data element; determine that the one or more archival actions meet the one or more archival requirements associated with the first data element; and execute the one or more archiving actions based on at least determining that the one or more archival actions meet the one or more archival requirements.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to image enhancement using a generative adversarial network (GAN). 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 training component that can train a discriminator of the GAN to score a texture of a CT image, wherein the texture can be derived from a difference of two conditionally independent estimates produced by a generator of the GAN by respectively processing two independent noisy samples of images.

Abstract: Embodiments described herein provide regression testing using artificial intelligence. A regression testing network model for a first plurality of organizations using a common codebase is provided. The regression testing network model provides an organization finite state machine (FSM) model for each organization. A first dataset including samples of the organization FSM models based on regression testing for one or more previous releases of the common codebase prior to a first release of the common codebase is received. A training dataset is generated based on the first dataset. The regression testing network model using the training dataset. A second plurality of organizations for regression testing for the first release is determined, from the first plurality of organizations, using the trained regression testing network model.

Abstract: In one embodiment, a method comprises training at least one model based at least in part on interactions between one or more users and electronic messages sent to addresses associated with the one or more users, receiving a first electronic message sent to a first address associated with a first user, analyzing the first electronic message to generate first feature data, determining one or more characteristics of the first user to generate second feature data, inputting, to the at least one model, the first feature data and the second feature data, and receiving, as output of the at least one model, data indicating whether to output, to the first user, a warning regarding the first electronic message.

Abstract: A method of reducing malodor on surfaces including providing an apparatus in an environment including a surface wherein the surface has a malodor containing compound selected from: amine-containing compound and thiol-containing compound. The apparatus includes a volatile material having a volatile carbonyl containing compound. The volatile material is exposed to the environment such that the volatile carbonyl containing compound vaporises and deposits on the surface. The carbonyl containing compound undergoes a nucleophilic addition in the presence of the malodor containing compound.

Abstract: Systems and methods for calibrating laboratory instruments. In an example, a laboratory instrument for testing patient specimens includes a testing apparatus configured to receive a cassette that includes a patient specimen or a quality control specimen. In response to determining that a quality control specimen is present, the instrument obtains a first measurement of a parameter. If the first parameter is outside an expected tolerance, the instrument ceases performing tests on all specimens, the instrument re-tests the quality control specimen to obtain a second measurement of the parameter. If the second measurement is within the expected tolerance, instrument resumes processing of the cassette. If the second measurement is outside the expected tolerance, the instrument indicates that recalibration or service is required.

Abstract: One example method, includes checking, by an intelligent time detector service running on a computing system, a trial period duration of software on the computing system, starting, by the intelligent time detector service, a counter for the software, and the counter is operable to generate a counter value based on a clock of the computing system, storing, by the intelligent time detector service, a counter value of the counter, and decommissioning, by the intelligent time detector service, the software after the trial period has expired.

Abstract: Systems, methods, and non-transitory, machine-readable media for zero-touch interworking of network control with data platform and analytics in virtualized deployment are disclosed. Responsive to a network service request for service location identifiers, data from data sources may be processed, and indicia of data characteristics may be analyzed to create or develop a data model. Configuration specifications may be created to instantiate a network slice and network services as a function of the data characteristics, conforming to quality of service parameters and service location identifiers. A log mapped to the request may be created and included in a template specifying a data observability framework and resources for the network slice and network services. The slice and services may be instantiated with the configuration specifications, with data services provided to user equipment of the external entity, and with the cellular network consequently providing data services to user equipment.

Abstract: Disclosed are 5?-substituted nucleoside monophosphates, which contain 5-fluorouracil or 5-fluorothiouracil as the nucleobase. In general, the 5?-substituted nucleoside monophosphates disclosed herein can inhibit human thymidylate synthase and thereby possess anti-cancer therapeutic effects. The 5?-substitution in these nucleoside monophosphates can prevent metabolic cleavage of the monophosphate group, mediated by enzymes such as 5?-nucleotidases, phospholipase D, etc. This feature can improve metabolic profiles, enhance target specificity, and/or reduce side effects of these compounds, compared to their corresponding unsubstituted analogs. Also disclosed are prodrugs of these 5?-substituted nucleoside monophosphates. After administration, the prodrugs can be metabolized to release their corresponding 5?-substituted nucleoside monophosphates. Methods of treating cancer using the 5?-substituted nucleoside monophosphates and prodrugs thereof are disclosed.

Abstract: A method includes obtaining first data including a first identifier of a first product determine in association with a content item based on first metadata of the content item. The method further includes obtaining a first confidence value associated with the first product and the content item. The method further includes obtaining second data including a second identifier of the first product and a second confidence value. The method further includes providing the first data and the second data to a trained machine learning model. The method further includes obtaining a third confidence value from the trained machine learning model associated with the first product. The method further includes adjusting second metadata of the content item in view of the third confidence value.

Abstract: Embodiments described herein relate to methods, systems, and non-transitory computer readable mediums storing instructions for creating and executing migration workflows to replicate or migrate data (collectively referred to herein as ‘migration’) from one device or set of devices to another device or set of devices (e.g., from one computing environment to another). The method of migration involves determining the health of a device used by the applications and prioritizing the migration of applications based, in part, on the health of the devices executing the applications that are to be migrated.

Abstract: Systems and methods for calibrating laboratory instruments. In an example, a laboratory instrument for testing patient specimens includes a testing apparatus configured to receive a cassette that includes a patient specimen or a quality control specimen. In response to determining that a quality control specimen is present, the instrument obtains a first measurement of a parameter. If the first parameter is outside an expected tolerance, the instrument ceases performing tests on all specimens, the instrument re-tests the quality control specimen to obtain a second measurement of the parameter. If the second measurement is within the expected tolerance, instrument resumes processing of the cassette. If the second measurement is outside the expected tolerance, the instrument indicates that recalibration or service is required.

Abstract: In one embodiment, a method comprises training at least one model based at least in part on interactions between one or more users and electronic messages sent to addresses associated with the one or more users, receiving a first electronic message sent to a first address associated with a first user, analyzing the first electronic message to generate first feature data, determining one or more characteristics of the first user to generate second feature data, inputting, to the at least one model, the first feature data and the second feature data, and receiving, as output of the at least one model, data indicating whether to output, to the first user, a warning regarding the first electronic message.

Abstract: Noise preserving models and methods for resolution recovery of x-ray computed tomography (e.g., using a computerized tool) are enabled. For example, a system can comprise: a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: a pair generation component that generates a pair of images, the pair of images comprising an input image and a ground truth image, a training component that trains a machine learning based sharpening algorithm by approximately minimizing a loss function that determines an error between a sharpened image and the ground truth image, and a sharpening component that, using the sharpening algorithm, sharpens the input image to generate the sharpened image, wherein the sharpened image comprises a second noise that is similar in intensity to a first noise of the input image.

Abstract: A method, system, and computer program product for parallel regression to bypass regression process interruption are provided. The method identifies an RTL design. The RTL design is converted into a control data flow graph having a plurality of nodes and a plurality of arcs. A mapping table is generated with a machine learning database from a set of test cases based on the control data flow graph. The method selectively calls one or more test cases of the set of test cases to merge a branch to a main repository to bypass a portion of a regression process.

Abstract: The present technology is directed to controlling and managing resources both in Software-Defined Cloud Interconnect (SDCI) providers and cloud service providers via a single network controller and further connecting virtual networks in a branch site to virtual networks in the cloud service providers. A network controller can establish a network gateway in an SDCI provider, establish a cross-connectivity between the network gateway in the SDCI provider and one or more clouds, group one or more virtual networks in the one or more clouds and one or more virtual networks in a branch site into a tag, and establish a connection between the one or more virtual networks in the one or more clouds and the one or more virtual networks in the branch site using the tag.

Abstract: Techniques are described that facilitate generating neural network (NNs) tailored to optimize specific properties of medical images using novel loss functions. According to an embodiment, a system is provided that comprises a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components comprise a training component that trains a NN to generate a modified version of computed tomography (CT) data comprising one or more optimized properties relative to the CT data using a loss function tailored to control learning adaptation of the NN based on error attributed to one or more defined components associated with the CT data, resulting in a trained NN, wherein the one or more defined components comprise at least one of a frequency component or a spatial feature component.

Abstract: Embodiments described herein relate to methods, systems, and non-transitory computer readable mediums storing instructions for creating and executing migration workflows to replicate or migrate data (collectively referred to herein as ‘migration’) from one device or set of devices to another device or set of devices (e.g., from one computing environment to another). The method of migration involves obtaining relationship information with regards to the applications that will be migrated from one device to another device or set of devices, and classifying the applications based on their relationships such as HAS-A and IS-A. Based on these classifications, one or more embodiments of the invention generate a relationship matrix in order to assign priority to the migration of each individual application. The applications are then migrated based on the matrix and assigned priorities.

Abstract: An information handling system receives information from an input pointer, obtains a first coordinate from the information with respect to a first direction of a display, obtains a second coordinate from the information with respect to a second direction of a display screen, and obtains a third coordinate from a scrolling value representative of an amount of scrolling of a contiguous presentation of displayable information for display of a portion of the contiguous presentation of displayable information within the display. The system also obtains a fourth coordinate representative of a time at which the first coordinate and the second coordinate are obtained, and provides an unambiguous record of a user's navigation of the contiguous presentation of displayable information based on the first coordinate, the second coordinate, the third coordinate, and the fourth coordinate.