Abstract: Methods and a system of generating a master seed using location-based data. The system includes a pseudo-random number generator configured to generate a random number and a global positioning system module configured to determine a location of the system. The system also includes an encryption module configured to generate a signing request message. The signing request message includes the random number and the location. The system further includes a communication device configured to transmit the signing request message to a location authority for authorization. The communication device further configured to receive a signature from the location authority upon authorization of the signing request message. The system is further configured to generate a master seed based on the signature.

Abstract: A computer-implemented method, according to one embodiment, includes: receiving a data process that includes a plurality of sub-processes. A unique subset of the sub-processes is assigned to each of: a managing thread, and at least one other thread. Moreover, performance characteristics of each of the threads is evaluated while the respective subsets of sub-processes are being performed, and a determination is made as to whether the performance characteristics of each of the threads are substantially equal to the performance characteristics of each of the other threads. In response to determining that performance characteristics of each of the threads are not substantially equal, the subsets of the sub-processes are dynamically adjusted such that the performance characteristics of each of the threads become more equal. Moreover, the adjusted subsets of the sub-processes are reassigned to each of the managing thread and at least one other thread.

Abstract: For a plurality of client computing devices of a federated learning system, obtain initial compressed embeddings, compressed by clustering, and including output of initial local models for a current minibatch, and initial cluster labels corresponding to the initial embeddings. Recreate an initial overall embedding based on the initial embeddings and the initial labels. At a server of the federated learning system, send a current version of a server model to each of the client computing devices; and obtain, from the client computing devices: updated compressed embeddings, compressed by clustering, and updated cluster labels corresponding to the updated embeddings. Based on local training by the plurality of clients with the overall embedding and the current server model, at the server, recreate an updated overall embedding based on the updated embeddings and the corresponding updated labels, and locally train the server model based on the updated overall embedding.

Abstract: A neural network device comprises a first plurality of synapse network capacitors, wherein the synapse network capacitors of the first plurality of synapse network capacitors share a first output terminal. The neural network device further comprises a second plurality of synapse network capacitors, wherein the synapse network capacitors of the second plurality of synapse network capacitors share a second output terminal. Still further, the neural network device comprises a metal shielding disposed between the first output terminal and the second output terminal. The neural network device may be used as part of an artificial intelligence system.

Abstract: One embodiment provides a method for recommending model characteristics to be used in developing a target geo-spatial physical model for a target geographic location utilizing historical lineage data corresponding to historical geo-spatial physical models, including: receiving information related to the target geographic location, wherein the information describes geographical and domain features of the target geographic location; identifying, using at least one similarity algorithm, at least one other geographic location that is similar to the target geographic location, wherein the at least one geographic location has at least one corresponding historical geo-spatial physical model; and recommending, using at least one machine-learning model and based upon the at least one other geographic location, initial model characteristics for developing and deploying the target geo-spatial physical model.

Abstract: A latch mechanism includes a mounting bracket, a stop connected to the mounting bracket, a first spring connected to the mounting bracket and in contact with the stop to preload the first spring, and a latch. The latch includes a second spring rotatably connected to the mounting bracket, and a body connected to the second spring. The body includes a pad at one end of the body, and a first pawl at a second end of the body opposite of the pad.

Abstract: A semiconductor device comprises a first chip layer, having a first chip layer front-side and a first chip layer back-side, a qubit chip layer, having a qubit chip layer front-side and a qubit chip layer back-side, the qubit chip layer front-side operatively coupled to the first chip layer front-side with a set of bump-bonds, a set of through-silicon vias (TSVs) connected to at least one of: the first chip layer back-side or the qubit chip layer back-side and a cap wafer metal bonded to at least one of: the qubit chip layer back-side or the first chip layer back-side.

Abstract: Concepts for populating a data entry field with data are proposed. Specifically, by identifying a context of a data entry field of a target application and analyzing a dataset from source applications based on the identified context, the data entry field may be automatically populated with relevant data. In this way, data from source applications may be transferred to data entry fields of a target application without the need for a user to memorize (or otherwise manually transfer) the data. Accordingly, this decreases time consumed and frustration of the user, while reducing the rate of copying errors.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for transcribing media. The exemplary embodiments may include collecting media, extracting one or more features from the media, and transcribing the media based on the extracted one or more features and one or more models.

Abstract: Computer software that assesses risks for security threat events by that performing the following operations: (i) receiving information pertaining to a managed asset; (ii) identifying, based, at least in part, on the received information: a threat to the managed asset and, one or more corresponding security controls for mitigating the threat, the security controls having associated control criteria; (iii) utilizing a risk assessment engine to calculate a risk value for the threat based, at least in part, on the received information; (iv) calculating a certainty factor for the threat based, at least in part, on a measure of belief associated with the control criteria; and (v) performing a computer-based remediation action based, at least in part, on the risk value and the certainty factor.

Abstract: A method of forming a multi color resist structure includes providing a substrate including an underlayer material; forming a first organic planarizing layer on the substrate; forming a first anti reflecting layer on the first organic planarizing layer, forming and developing a first patterned resist on the first anti reflecting layer; forming a second organic planarizing layer on the first anti reflecting layer and on the first patterned resist; forming a second anti reflecting layer on the second organic planarizing layer and forming and developing the second patterned resist, wherein the first patterned resist is a non-chemically amplified resist (n-CAR) or metal resist and the second patterned resist is CAR organic resist.

Abstract: A method, system and computer program product are presented for reducing memory consumption in depth first search (DFS)-based cycle detection processes to detect an n-length cycle on a Pregel model. The method includes generating a graph including a plurality of vertices and edges connecting the plurality of vertices, commencing a cycle from a first vertex of the plurality of vertices, setting an ID of the first vertex to a path and the first vertex as a target vertex, and iterating the following n?1 times: send the path to out-edges starting from the first vertex and transferring the path, via out-edges, n?1 times by subsequent received vertices, find one vertex before returning to the target vertex, add an ID of a found vertex to the path, and set the found vertex as the target vertex such that n=n?1, where is a number of iterations.

Abstract: A method, computer program, and computer system are provided for identifying bias in weather models. Data corresponding to one or more forecasts associated with a weather model is received. One or more forecast errors in the received data are identified. A forecast bias is determined from among the one or more forecast errors based on determining a presence of consistent errors in a plurality of regions associated with the received data over a period of time. The weather model is updated based on minimizing the determined forecast bias.

Abstract: Aspects of the invention include determining an event associated with a computing system, the event occurring at a first time, obtaining system data associated with the computing system, determining a system state of the computing system at the first time based on the system data, determining, based on the system state, two or more system data clusters comprising clustered system data associated with the system state of the computing system, determining, via an interpolation algorithm, an interpolated data value for the first time based on the system data, and adjusting the interpolated data value based on a determination that the interpolate data value is outside the two or more system data clusters.

Abstract: An example operation may include one or more of storing blockchain blocks committed to a blockchain based on a protocol executed by a current consensus committee of a blockchain network, receiving random values from the blockchain blocks which are created by nodes of the current consensus committee, randomly determining nodes of a next consensus committee of the blockchain network with respect to the current consensus committee based on the random values created by the nodes of the current consensus committee, and storing a new block to the blockchain based on a protocol based executed by the nodes of the next consensus committee.

Abstract: An embodiment includes invoking a search of vulnerability chain data of a local database using a database query to obtain a search result, where the database query is based on a description string associated with a new vulnerability, and where the search result comprises a plurality of linked vulnerabilities that collectively form a vulnerability chain. The embodiment also includes identifying a vulnerability characteristic of a linked vulnerability of the plurality of linked vulnerabilities in the vulnerability chain. The embodiment also includes generating, as a new vulnerability chain, a modified version of the vulnerability chain by appending the new vulnerability to the vulnerability chain. The embodiment also includes assigning an updated vulnerability score to the new vulnerability based at least in part on the identified vulnerability characteristic of the linked vulnerability.

Abstract: A method for facilitating user input into a form of a graphical user interface is disclosed. In one embodiment, such a method includes receiving a form implemented on a graphical user interface. The form has multiple fields. The method automatically scans the form to determine relationships such as dependencies between the fields and automatically generates a knowledge graph that describes the fields and their relationships. The fields may be represented as nodes in the knowledge graph. The method enables a user to select a designated field in the form and display the knowledge graph to show relationships between the designated field and other fields in the form. A corresponding system and computer program product are also disclosed.

Abstract: A splitter-combiner includes a first quarter-wave line, a second quarter-wave line, an absorption resistance, a combining terminal, and a line bending circuit. The line bending circuit includes a line parallel region and a line bending region. The line parallel region has the first quarter-wave line and the second quarter-wave line. The first quarter-wave line and the second quarter-wave line are parallel to each other in the line parallel region. The line bending region has the first quarter-wave line and the second quarter-wave line. The first quarter-wave line and the second quarter-wave line are bent in the same direction as each other in the line bending region.

Abstract: Using a system risk evaluation model, system data is evaluated, the evaluating identifying a system risk, the system risk comprising a risk associated with a system of an organization being audited, the system risk evaluation model computing a system risk score using a first plurality of weights assigned to data attributes of the system data. Using a role risk evaluation model, role data is evaluated, the evaluating identifying a role risk, the role risk comprising a risk associated with a role in the organization being audited, the role risk evaluation model comprising computing a role risk score using a second plurality of weights assigned to data attributes of the role data. Using an audit repository, an audit customized to the system risk and the role risk is generated. Using a result of the audit, a configuration of the system is caused to be adjusted.

Abstract: An approach for assisting software developers to fill the data gap and reproducing client application issue using reported reproducing steps is disclosed. The approach involves constructing service request/response sequence (from the developer's side based on the limited data) from customer's reproducing steps and developer's running inspection result and perform UI-service mapping, redirecting service call to data simulator which replay the service request and response, and adjusting service response with multiple data sources and policies. Lastly, the approach can transform the issue to an automatic test script with the service response in a mockup function (e.g., can be used to extend test data and enhance test cases).