Abstract: Provided are techniques for performing edge processing by selecting edge devices based on security levels. A security policy is identified for a job to determine a security level for the data. A number of the edge devices that are to be included in a participating group to execute the job is identified. A subset of edge devices that meet the security level are identified by comparing security data of each of the edge devices with the security level. In response to determining that the subset of edge devices includes that number of edge devices, the edge devices from the subset are added to the participating group. The job is executed using the edge devices in the participating group and the one or more cloud nodes, while maintaining the security level in processing the data and in communications across the edge devices and the one or more cloud nodes.

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: A node in a blockchain network may agree, on an authority accept a compliance module from the authority, accept the compliance module. The node may also receive an operation, verify a compliance of the operation based on the compliance module, add the verified operation to a ledger on the blockchain network.

Abstract: A first phase change material layer vertically aligned above a bottom electrode, a dielectric layer vertically aligned above the first phase change material layer, a second phase change material layer vertically aligned above the dielectric layer, an inner electrode physically and electrically connected to the first phase change material layer and the second phase change material layer, the inner electrode surrounded by the dielectric layer, a top electrode vertically aligned above the second phase change material layer. A first phase change material layer vertically aligned above a bottom electrode, a filament layer vertically aligned above the first phase change material layer, a second phase change material layer vertically aligned above the filament layer, an inner break in the filament layer connecting the first phase change material layer and the second phase change material layer, a top electrode vertically aligned above the second phase change material layer.

Abstract: An example operation includes one or more of detecting, by a validation service node, an access of a block on a blockchain ledger; accessing, by the validation service node, a block validation stamp comprising meta-data signed by a trusted stamping authority (TSA) on the blockchain ledger; and validating the block based on the meta-data.

Abstract: A magnetic tunnel junction pillar is positioned above a bottom electrode composed of a metal-oxide region in contact with a first portion of the magnetic tunnel junction pillar and a metal region surrounding the metal-oxide region. A sidewall spacer is positioned along sidewalls of the magnetic tunnel junction pillar, and the metal region is in contact with a bottom surface of the sidewall spacer and a second portion of the magnetic tunnel junction pillar.

Abstract: An IC device test probe has one or more clusters of a plurality of tapered probe tips that taper upon a taper plane that is orthogonal to a seating direction or force vector of the IC device test probe toward the IC device. Each of the plurality of tapered probe tips is seated against one contact of the IC device. In this manner, the IC device test probe is seated against multiple contacts and may therefore apply test signal(s) to these contacts serially, simultaneously, or the like. The IC device test probe allows the seating to small pitch IC devices and associated testing thereof. This allows for electrical characterization of the IC device by the same test signal(s) through the IC device test probe and ultimately through multiple contacts. The forces associated with seating the IC device test probe against the IC device contacts is effectively spread across multiple contacts.

Abstract: Cognitive determination of whether a message is suitable for sending over a data communications network can include extracting tokens from the message prior to transmitting the message. One or more intended recipients of the message can be determined from the tokens. A machine learning classification model corresponding to the one or more recipients of the message can be selected. The machine learning classification model can be constructed based on tokens extracted from prior messages, which are combined to create a plurality of documents for training the machine learning classification model. The one or more tokens extracted from the message can be classified using the machine learning classification model. An alert message can be generated in response to determining based on the classifying that the message is unsuited for sending.

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 cookie compliance management system enables automated evaluation of cookie compliance within an enterprise. The system determines whether a cookie set by an application in the environment is compliant with a policy. It comprises a workflow engine, a cookie discovery engine (CDE), a cookie characterization engine (CCE), a cookie policy engine (PE), and a cookie registry. The workflow engine receives a request to initiate an evaluation of an application for cookie compliance. The CDE is invoked and returns cookies that are set by the application. The CCE receives a set of base attributes associated with a cookie discovered by the CDE, and computes a set of descriptive attributes determined to be required to enable evaluation of the cookie according to a policy. The policy engine receives policy rules and the set of descriptive attributes and, in response, determines whether the cookie is compliant with the policy. The cookie registry stores cookie data.

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: An embodiment for a method of supporting neurodivergent comprehension of content by proactively identifying and transforming predicted difficult comprehension areas for a given user. The embodiment may receive an activation command from a registered user. The embodiment may automatically identify, within displayed content, predicted difficult comprehension areas based on a series of preferences and behaviors associated with the registered user. The embodiment may mark a textual element associated with the predicted difficult comprehension areas that may be transformed to improve comprehensibility of the predicted difficult comprehension areas for the registered user. The embodiment may detect user interaction with the marked textual element. The embodiment may, in response to detecting user interaction with the marked textual element, transform the marked textual element and provide transformed content to the registered user.

Abstract: A method includes collecting, by one or more processors of a computer system, digestive capabilities for Input Output Queues (IOQs) of infrastructure components in a hybrid cloud infrastructure, and allocating, by the one or more processors of the computer system, nonvolatile memory express (NVMe) storage cloud resources for the hybrid cloud infrastructure based on the collected digestive capabilities for IOQs of the infrastructure components.

Abstract: Disclosed embodiments provide techniques for estimating imputation algorithm performance. Multiple imputer algorithms are selected, and an evaluation of how well each of the imputer algorithms can estimate the missing data is performed. Disclosed embodiments obtain an imputer candidate dataset (ICD). The imputer candidate dataset is compared to the incomplete data range, and a similarity metric is determined between the data range and the ICD. When the similarity metric exceeds a predetermined threshold, an imputer evaluation dataset (IED) is created from the ICD by removing one or more data points from the ICD. Each imputer algorithm is evaluated by applying the IED to it, and computing an imputer evaluation metric based on its performance. The multiple imputer algorithms are ranked based on the imputer evaluation metric. The best ranked imputer algorithm can then be selected for use on the incomplete data range within the measurement dataset.

Abstract: A computer-implemented method, system and computer program product for improving accuracy and efficiency of auditing databases. A table, list or index of a database is analyzed to identify metadata, which includes time series data, user data, an Internet Protocol address and operation data. The identified metadata is associated with the corresponding record or row of the table, list or index from which the metadata was extracted. A determination is then made as to whether to record a raw data image associated with the record or row of the analyzed table, list or index based on the corresponding data operation. The identified metadata as well as the recorded data images, if any, are stored in a structured audit log. Auditing information is then obtained from a structured audit log based on matching the record or row identifier (RID) associated with the query with the RID associated with the structured audit log.

Abstract: An embodiment for detecting anomalous data using dependency modeling. The embodiment may, within a target data environment, identify references between data contained in one or more data files. The embodiment may determine dependency relationships between data fields in the data contained in the one or more data files. The embodiment may construct computational graphs depicting the determined dependency relationships as series of related data fields. The embodiment may identify a series of associated computational graphs within the constructed computational graphs. The embodiment may calculate abnormality degree values for each of the data fields within the constructed computation graphs. The embodiment may, in response to detecting an anomalous data field having a calculated abnormality degree value above a threshold value, calculating contribution values for a series of associated component data fields to identify a root cause for the detected anomalous data field.

Abstract: Provided are techniques for a search using an overlay graph mapping to source knowledge graphs. A plurality of overlay graphs are generated, where each overlay graph comprises entities represented by nodes and relations represented by edges, and where the entities and the relations map to a subset of entities and relations in a plurality of source knowledge graphs. A search request comprising an entity and a relation is received. An overlay graph is selected from the plurality of overlay graphs based on the entity and the relation. The search request is issued against the overlay graph, where the search request is translated to knowledge graph specific queries, and where the knowledge graph specific queries are issued against the plurality of source knowledge graphs. Search results are received from the plurality of source knowledge graphs. The search results are used to respond to the search request.

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: 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: 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.