Abstract: A method, computer system, and a computer program product are provided for post-modeling feature evaluation. In one embodiment, at least at least one post model visual output and associated data is obtained that at least includes an individual conditional expectation (ICE) plot and a partial dependence (PDP) plot. Using the associated data and the plots, a Feature Importance (PI) plot is provided. A plurality of features is then determined for each PI, PDP and ICE plots to calculate at least one Interesting Value for each plot. An overall score is also calculated for each plurality of features based on the associated Interesting Values for each PDP, ICE and PI plots. At least one top feature is selected based on said scores. A final plot is then generated at least reflecting the top feature. The final plot combines the PI, PDP and ICE plots together.

Abstract: A computer-implemented method is provided for determining an action with respect to a given portfolio of items for supply chain management. The method includes acquiring, by a hardware processor, a feature vector for supply chain delivery trends, the given portfolio, and a current investment amount. The method further includes determining, by the hardware processor, whether a current supply chain delivery situation is normal or abnormal based on the feature vector. The method also includes performing a risk-avoidance action to reduce the current investment amount and avoid potential supply chain delivery losses, responsive to a determination that the current supply chain delivery situation is abnormal. The method additionally includes performing a risk adaptive action to increase the current investment amount and incur potential supply chain delivery gains by using a distributional reinforcement learning process, responsive to a determination that the current supply chain delivery situation is normal.

Abstract: Described are techniques for oblique image rectification. The techniques include receiving an original image depicting an oblique view of a circular object and pre-processing the original image into an edge image. The techniques further include generating, by a machine learning model based on the edge image, a heatmap including an ellipse formed by the oblique view of the circular object. The techniques further include computing ellipse parameters describing the ellipse of the heatmap. The techniques further include performing, using the ellipse parameters, an affine transformation on the original image to generate a rectified image, where the rectified image converts the ellipse to a circle.

Abstract: A computer-implemented method, a computer system and a computer program product adapt a vehicle communication network range based on an awareness of vehicle speed. The method includes identifying a plurality of devices within a recommended range of a vehicle. The method also includes obtaining a current driving environment from the plurality of devices. In addition, the method includes calculating a required range for a communications network based on the current driving environment and determining required devices within the required range. Lastly, the method includes dynamically creating the communications network when the required range is greater than the recommended range, where the communications network includes the vehicle, the plurality of devices within the recommended range and the required devices.

Abstract: In an embodiment of the present invention, imagery of a geographic area is received from an image capture system. The imagery includes an obscurity impeding visibility. A geographic region within the geographic area is determined corresponding to a location of the obscurity. The image capture system is requested to capture new imagery of the geographic region at a time determined based on information including weather patterns. The new imagery of the geographic region is combined with the imagery of the geographic area to produce resulting imagery resolving the obscurity.

Abstract: According to one embodiment, a method, computer system, and computer program product for identifying one or more intrinsic physical properties of one or more objects is provided. The present invention may include identifying one or more objects in a video set, extracting observable physical properties of the identified one or more objects from the video set, including one or more trajectories, and inferring, by a property-based graph neural network, intrinsic properties of the one or more objects based on the trajectories.

Abstract: A method, computer system, and a computer program product for text detection is provided. The present invention may include training a text detection model. The present invention may include performing text detection on an inputted image using the trained text detection model. The present invention may include determining whether at least one of a plurality of bounding boxes generated using the inputted image has an aspect ratio above a threshold. The present invention may include based upon determining that at least one of the plurality of bounding boxes generated using the inputted image has the aspect ratio above the threshold, upscaling any text within the at least one bounding box and performing text detection on a new image using the trained text detection model. The present invention may include outputting an output image.

Abstract: A stacked device is provided. The stacked device includes a plurality of dielectric support bridges on a substrate, and a first two-dimensional (2D) channel layer on each of the plurality of dielectric support bridges. The stacked device further includes a gate dielectric sheet on the first two-dimensional (2D) channel layer, and a second two-dimensional (2D) channel layer on the first two-dimensional (2D) channel layer. The stacked device further includes a second gate dielectric layer on the gate dielectric sheets.

Abstract: A method, system, and computer program product are disclosed. The method includes generating simulation instances and particle site identifiers from a particle-based simulation. The method also includes providing an order metric for the particle-based simulation. Information is embedded in the particle-based simulation by mapping local order values of the order metric to characters of an input message.

Abstract: Embodiments disclosed herein describe methods of forming semiconductor devices. The methods may include etching vias and trenches in a middle-of-line (MOL) layer that has a low-k dielectric layer, a sacrificial nitride layer, and a hard mask layer. The methods may also include depositing a thin nitride layer within the via trench, depositing a carbon layer on the thin nitride layer within the vias and trenches, etching back the thin nitride layer to expose a portion of the hard mask layer, removing the hard mask layer and the carbon layer, and removing the thin nitride layer and the sacrificial nitride layer.

Abstract: Techniques for identifying outlier application connections for computer security are described. These techniques include identifying one or more connections between a client application and one or more services, over a communication network, and determining to switch from an outlier connection learning phase to an outlier connection detection phase based on the identified or more connections, including determining, in real-time and based on a confidence level and a number of previously analyzed connections, to switch to the outlier connection detection phase. The techniques further include determining, based on the switch to the outlier connection detection phase, that a first connection of the identified one or more connections is an outlier connection, and acting to reduce a security risk relating to the first connection.

Abstract: A ring-shaped heater, system, and method to gradually change the conductance of the phase change memory through a concentric ring-shaped heater. The system may include a phase change memory. The phase change memory may include a bottom electrode. The phase change memory may also include a ring-shaped heater patterned on top of the bottom electrode, the ring-shaped heater including: a plurality of concentric conductive heating layers, and a plurality of insulator spacers, where each insulator spacer separates each conductive heating layer. The phase change memory may also include a phase change material proximately connected to the ring-shaped heater. The phase change memory may also include a top electrode proximately connected to the phase change material.

Abstract: A method and system determine network based access to restricted systems. The method includes receiving a request for a permission access status of a party seeking access to one of the restricted systems. A database of periodically updated lists of entities is accessed. A name of the party is extracted from the request. A determination is made whether the name does not match one of the entities. The name is decomposed into parts if the name not matching one of the entities. A determination is made whether any of the parts of the name matches one of the entities. A denial of access status is forwarded from the computer server to an external computing device if any of the parts of the name matches one of the entities.

Abstract: A memory device that includes an magnetoresistive random-access memory (MRAM) stack positioned on an electrode, a metal line in contact with the electrode, and a sidewall spacer abutting the MRAM stack. The memory device also includes a stepped reach through conductor having a first height portion of the stepped reach through conductor in an undercut region positioned between the sidewall spacer and the metal line, and a second height portion having a greater height dimensions than the first height portion abutting an outer sidewall of the sidewall spacer.

Abstract: A method, computer system, and a computer program product for historical image search is provided. The present invention may include receiving an image search criteria. The present invention may also include generating a composite image search query based on the received image search criteria. The present invention may further include searching for a matching historical image based on the generated composite image search query. The present invention may also include returning a historical image search result.

Abstract: Determining correct base container images to support custom container images is provided. A comparison between layers of a base container image corresponding to a current version of an operand and layers of a custom container image built by a user is performed using an operator. It is determined whether the user utilized a correct base container image to build the custom container image based on the comparison between the layers of the base container image corresponding to the current version of the operand and the layers of the custom container image built by the user. A runtime is generated in a cluster of host nodes to provide a service based on the custom container image in response to determining that the user utilized the correct base container image to build the custom container image.

Abstract: A computer-implemented method, a computer program product, and a computer system for data sharding and topology alterations for disaster recovery preparation. A computer system estimates time needed to copy a data store of a data center that is assumed offline. A computer system determines whether the time needed is greater than a recovery time objective (RTO). A computer system creates a data shard for the data store, in response to determining that the time needed is greater than the RTO. Prior to the data center being offline, a computer system alters a current topology of the data store in a network connecting multiple data centers, by copying the data shard to a destination data center that does not contain the data store in the current topology, where, with an altered topology, the RTO is met in an event of the data center being offline.

Abstract: In an approach to intelligent connection placement across multiple logical ports, a mapping table for a virtual machine is created. Responsive to determining that an entry exists in the mapping table for the port on the peer device, whether a virtual function exists the port on the peer device in the mapping table for the same physical function is determined. A virtual function is selected from the mapping table to connect the local port to the port on the peer device.

Abstract: Techniques regarding identifying candidate knowledge graph subgraphs in a question answering over knowledge graph task are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a question answering over knowledge graph component that encodes graph structure information of a knowledge graph subgraph and a question graph into neural network embeddings.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate mapping conditional execution logic to different quantum computing resources are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a compiler component that maps a logical reference to a quantum bit data structure in an instruction, to a first engine component, and a deployment component that deploys the first engine component to a first block controller component operatively connected to a first quantum computing resource, wherein the first engine component controls the first quantum computing resource based on the instruction.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to usage maximization of a physical qubit layout of a quantum computer. 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 can comprise an identification component that identifies a quantum circuit, and a scheduler component that maps the quantum circuit to a physical qubit layout. In an embodiment, the scheduler component can combine plural quantum circuits, including the quantum circuit into a composite circuit, and map the composite circuit to the physical qubit layout. In an embodiment, an obtaining component can assign the quantum circuit to a temporary storage bucket and can identify whether the temporary storage bucket meets a threshold where the scheduler component can proceed to analyze the quantum circuit.

Abstract: A method of 3D printing, a 3D printing system, and a vertical conveyor are disclosed herein. The 3D printing system comprises a vertical conveyor having a plurality of folding build plates; a plurality of biasing devices, a biasing device being configured to rotate a folding build plate from a folded position to a substantially horizontal position when the folding build plate enters a printing chamber position, and a 3D print head inside the print chamber adapted to 3D print an object on the folding build plate in the substantially horizontal position.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for managing environment change. The exemplary embodiments may include determining a plurality of change and risk models for a plurality of computing environments, generating a plurality of association rules based on the plurality of change and risk models, and generating a joint association rule by combining at least two of the plurality of association rules, wherein the joint association rule indicates, from the three dimensions, an association relationship between changes and risk events over at least a part of the time series.

Abstract: An approach for protecting container image and runtime data from host access may be presented. Container systems have allowed for more efficient utilization of computing resources, removing the requirement of a hypervisor, and packaging all necessary dependencies within an application. Preventing host access to container image and runtime data can be advantageous for a multitude of reasons. The approach herein may include, flattening a plurality of root file system of a one or more container images into a single layer. The approach may also include generating a container base image for each of the one or more flattened root file system. The approach may include encrypting each of the generated container base images with the flattened root file system.

Abstract: A processor may receive weather event data. The processor may determine, utilizing an artificial intelligence model mapping weather events having weather impacts with a higher likelihood of occurrence proximate to each other in the latent space, a weather impact associated with a weather event. In some embodiments, the artificial intelligence model may be trained using historical weather event data and historical weather impact data associated with the historical weather event data. The processor may output the weather impact associated with the weather event to a user.

Abstract: A micro-electromechanical device and method of manufacture are disclosed. A sacrificial layer is formed on a silicon substrate. A metal layer is formed on a top surface of the sacrificial layer. Soft magnetic material is electrolessly deposited on the metal layer to manufacture the micro-electromechanical device. The sacrificial layer is removed to produce a metal beam separated from the silicon substrate by a space.

Abstract: Disclosed are a computer-implemented method, a system and a computer program product for model exploration. Model feature importance of each model of a plurality of models can be obtained, the plurality of models can be grouped into a plurality of model clusters based on the model feature importance of each model, and the model feature importance can be presented by box-plot or confidence interval.

Abstract: Provided are a method, a system, and a computer program product in which metadata associated with encrypted data is maintained in a cloud computing environment, where the metadata indicates whether reading of information in the encrypted data is restricted geographically. A controller provides a decryption code to a cloud server located in a geographical location. The decryption code is for decrypting the encrypted data. The controller provides the decryption code, based on a determination as to whether the metadata indicates whether the reading of information in the encrypted data is restricted geographically.

Abstract: A computer-implemented method, according to one embodiment, includes causing a memory assessment thread to perform a first predetermined node memory contention state determination sequence for a predetermined first node. The first predetermined node memory contention state determination sequence includes recording a first timestamp, and allocating dedicated memory of the predetermined first node. The first predetermined node memory contention state determination sequence furthermore includes attempting to fill the allocated memory with content subsequent to recording the first timestamp, and recording a second timestamp after attempting to fill the allocated memory. The method further includes determining a first memory contention state of the predetermined first node based on results of performing the first predetermined node memory contention state determination sequence. The determined first memory contention state is caused to be included in a first type of message sent to a second node.

Abstract: A method can include obtaining device data for a set of electronic devices. The device data can indicate power utilized by the set of electronic devices. The method can include obtaining a capacity of a backup power source. The method can include obtaining priority data regarding an allocation of power to the set of electronic devices. The method can include obtaining a set of environmental conditions. The method can include calculating, based at least in part on the set of environmental conditions and the device data, a projected electrical load on the backup power source. The method can include determining that one or more thresholds are exceeded. The determining can comprise identifying that the projected electrical load exceeds the capacity. The method can include modifying, in response to the determining and according to the priority data, power supplied to the set of electronic devices from the backup power source.

Abstract: Deviations in a 3D printing process can be detected during printing via sensors or by user observation. A user can manipulate and evaluate any deviations from a 3D model via a simulation of the work-in-progress object via virtual reality. The user can also make changes to the model, resulting in the printer completing the same work-in-progress object based on the revised model.

Abstract: A computer-implemented method for displaying advertisements. The method includes associating feature metadata with a product video advertisement of a product. The method includes identifying, based on the feature metadata, a feature of the product corresponding with a section of the product video advertisement when a triggering event is detected during playing of the product video advertisement. The method includes displaying a second product video advertisement of a second product that includes the feature of the product.

Abstract: Generating a target schema is provided. The method comprises receiving an input schema that defines an input structure and receiving a transformation map. The transformation map and the input schema are both parsed, and a first tree for the map and a second tree for the schema are traversed in a step fashion. According to the traversal of the first tree and second tree, a target schema is generated that is valid for all possible instance documents that the transformation map would generate.

Abstract: In an approach to improve the field of photoacid generators (PAGs) through a new photoacid generator, in particular to a photoacid generator comprising a new polycyclic aromatic photoacid generator compound anion, and a photoresist composition, comprising said photoacid generator. Embodiments the present invention relate to a method of generating an acid using said photoresist composition and a method of forming a patterned materials feature on a substrate.

Abstract: Software that performs the following operations: (i) receiving a set of graph predictions corresponding to an input text, where graph predictions of the set of graph predictions are generated by different respective machine learning models; (ii) blending the graph predictions of the set of graph predictions to generate a plurality of candidate blended graphs, where nodes and edges of the candidate blended graphs have respective selection metric values, generated using a selection metric function, that meet a minimum threshold; and (iii) selecting as an output blended graph a candidate blended graph of the plurality of candidate blended graphs having a highest total combination of selection metric values among the plurality of candidate blended graphs.

Abstract: Systems and computer-implemented methods select a subset of methods to generate data schemas for input data from a list of methods for generating data schemas, based on output of a regression model; generate a candidate schema for each method in the subset of methods to generate data schemas; and generate a master data schema for the input data by merging the candidate schema for each method in the subset of methods to generate data schemas, utilizing predetermined rules.

Abstract: A processor may identify that content is generated for a communication between IoT devices. The processor may identify a source device and a target device of the IoT devices. The processor may analyze the content. The processor may determine a sensitivity of the content. The processor may assign, based on the determining, a security level to either of the source device or the target device.

Abstract: Embodiments for providing enhanced data protection for storage systems in a computing environment by a processor. One or more queries received by a storage system may be identified. Approval or denial of transmission of data with the storage system may be regulated in relation to the one or more queries based a queried metadata and a plurality of rules and administrative policies.

Abstract: In order to perform a semantic search based on a graph database, sets of nodes are selected from a plurality of nodes in a graph database. A set of nodes semantically matches a keyword in a natural language query. At least one target node is identified in the sets of nodes. A path is selected from candidate paths based on similarities between the candidate paths and a plurality of paths in the graph database. A graph query for retrieving information from the graph database is generated based on the selected path and the query target.

Abstract: In one embodiment, a method includes receiving an unstructured data record and parsing the unstructured data record to determine a characterization of the unstructured data record. The characterization includes determination of: a number of fields, a length for the fields, and an order of the fields as stored in the unstructured data record. The method also includes obtaining a first key pair that includes a primary key-name associated with a first key-value and hashing at least the first key-value to obtain a hash value. In addition, the method includes updating the unstructured data record to include the hash value as an indexing key thereby creating a modified data record. Also, the method includes storing the modified data record in a structured database. Moreover, the method includes updating an index of the structured database to include an entry for the modified data record, the entry including the hash value.

Abstract: Provided is a semiconductor device. The semiconductor device comprises a transistor comprising a plurality of source/drain epitaxies. The semiconductor device further comprises at least one backside power rail under the transistor. The semiconductor device further comprises a backside inter-layer dielectric (ILD) located between the plurality of source/drain epitaxies and the at least one power rail. The semiconductor device further comprises a first backside contact connecting a first source/drain epitaxy to the at least one backside power rail. The semiconductor device further comprises one or more contact placeholders formed under the other source/drain epitaxies.

Abstract: A method, computer program product, and computer system for using agents at a data lake to assist training, testing, and deploying a model for predicting one or more outputs from specified input to the model, using agents at the data lake. The agents identify at the data lake: hardware resources, a first portion of model input data for training and testing the model, a training language, and a first software resource. A first execution of the first software resource is triggered to split the first portion of the model input data into training input data and testing input data. A first portion of the hardware resources is identified for training and testing the model. A second software resource stored at the data lake is identified for optimizing the model in accordance with an optimization algorithm. Training the model at the data lake is triggered.

Abstract: An embodiment for encoding permutation-invariant representations of linearized tabular data. The embodiment may receive input including tabular data and linearize a column or row within the received tabular data. The embodiment may automatically assign an increasing sequence of position identifiers to each non-delimiting tokenized cell in the linearized column or row until a header delimiter is reached. The embodiment may, in response to reaching the header delimiter, automatically assign a monotonically increasing sequence of position identifiers for each non-delimiting tokenized cell positioned after the header delimiter, restarting from an integer corresponding to 1 greater than the position identifier assigned to the header delimiter for each non-delimiting tokenized cell positioned after cell delimiters.

Abstract: Processing within a computing environment is facilitated using a corpus processing system to assess and enhance quality of a corpus of unstructured documents for a specified task. The processing includes referencing, by a corpus processing engine, the corpus of unstructured documents to obtain unstructured document data, and applying, by a corpus quality metrics engine, a set of quality metrics to the document data to obtain a set of quality metric scores. Further, the process includes automatically selecting, by a quality metric selection engine, a subset of task-relevant quality metrics using the quality metric scores and the specified task, and automatically transforming, at least in part, multiple documents of the corpus to remediate one or more identified issues with the documents. The automatically transforming results in remediated documents tuned for the specified task, which are provided for the specified task to be performed.

Abstract: According to one embodiment, a method, computer system, and computer program product for coordinating professional language is provided. The present invention may include running, by a processor, at least one professional parsing algorithm and at least one non-professional parsing algorithm on an ingested writing; assigning, by at least one of the professional parsing algorithms and at least one of the non-professional parsing algorithms, one or more initial scores to the ingested writing; determining, by a machine learning model, one or more differences between the ingested writing and stored professional data by comparing the one or more initial scores of the ingested writing to the stored professional data; determining a variation percentage score of the ingested writing based on the differences; and transmitting at least one suggested modification of the ingested writing based on the variation percentage score to a transmitting device.

Abstract: Methods, computer program products, and systems are presented. The methods, computer program products, and systems can include, for instance: detecting, by machine logic, an event in a patient environment, wherein the event includes a body part of a patient moving to a location within a threshold distance of a point of interest, the point of interest being a location in the patient environment which if subject to contact by the body part poses risk to the patient; determining, by machine logic, one or more action to perform to control movement of the body part in response to the detecting the event in the patient environment; performing the one or more action to control movement of the body part in response to the detecting the event in the patient environment.

Abstract: Provisioning an orchestration platform is provided. A pre-application programming interface (API) server hook is used to preprocess a request to generate a custom resource in the orchestration platform. The pre-API server hook generates a custom resource definition corresponding to the custom resource and generates the custom resource based on the custom resource definition. A custom resource definition generation event is monitored for, using a custom resource definition (CRD) meta-controller, to manage a custom resource definition controller corresponding to the custom resource definition. The CRD meta-controller retrieves the custom resource definition controller from a CRD controller configuration repository to deploy the custom resource definition controller on a worker node in the orchestration platform.

Abstract: A computer processing system is provided for enhancing video-based language learning. The system includes a video server for storing videos that use one or more languages to be learned. The system further includes a video metadata database for storing translations of sentences uttered in the videos, character profiles of characters appearing in the videos, and mappings between the sentences and a learner profile. The system also includes a learner profile database for storing learner profiles. The system additionally includes a semantic analyzer and matching engine for finding, for at least a given video and a given learner, alternative sentences for and responsive to the translations of the sentences uttered in the given video that conflict with a respective learner profile for the given learner. The computer processing system further includes a presentation system for playing back the given video and providing the alternative sentences to the given learner.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for determining that one or more model pipelines satisfy one or more constraints. The exemplary embodiments may include detecting a user uploading data, one or more constraints, and one or more model pipelines, collecting the data, the one or more constraints, and the one or more model pipelines, and determining that one or more of the model pipelines satisfies all of the one or more constraints based on applying one or more algorithms to the collected data, constraints, and model pipelines.

Abstract: Integrated chips include first lines, formed on an underlying substrate. Spacers are formed conformally on sidewalls of the plurality of lines. Etch stop remnants are positioned on the sidewalls of the plurality of lines, between the spacers and the underlying substrate. Second lines are formed on the underlying substrate, between respective pairs of adjacent first lines.