Abstract: A method for fabricating a semiconductor device includes forming air gaps within respective dielectric layer portions to reduce thermal cross-talk between adjacent bits. Each of the dielectric portions is formed on a substrate each adjacent to sidewall liners formed on sidewalls of a phase change memory (PCM) layer. The method further includes forming a pillar including the sidewall liners and the PCM layer, and forming a selector layer on the pillar and the dielectric portions.

Abstract: A high-density electrode array, a neural probe, and a method of control thereof, the high-density electrode array including a plurality of neural electrodes, a wordline, and a bitline where each neural electrode of the plurality of neural electrodes is individually controlled by the wordline and the bitline.

Abstract: One or more computer processors receive a domain name system (DNS) request in response to a client connecting to a compute resource. The one or more computer processors decoding the DNS request into one or more provision parameters. The one or more computer processors determining that the compute resource is unavailable for a connection with the client utilizing the identified IP address. The one or more computer processors, responsive to determining that the compute resource is not available or not ready, provisioning and deploying a new compute resource according to the one or more decoded provision parameters, wherein the new compute resource is available to the client under the identified IP address.

Abstract: An electronic printed circuit board structure for mitigating conductive anodic filament growth. The structure includes at least two conductive layers and a dielectric layer sandwiched between the conductive layers. At least one hole extends through the dielectric layer, and a layer of nonconductive material covers the at least one hole, wherein the nonconductive material is glass-free. A conductive plate layer is disposed over the nonconductive material layer to form a via connection in the structure.

Abstract: A system and a method of providing electromagnetic compatibility (EMC) protection. A removable component is inserted into an end product. The removable component includes a retractable EMC protection apparatus. In response to the insertion of the removable component a shape memory alloy on the EMC protection apparatus is heated to a temperature above the activation temperature of the shape memory alloy. The shape memory alloy then changes from a first shape to a second shape in response to the heating. In response to the change in the shape of the shape memory alloy an EMC protection component of the EMC protection apparatus is inserted into an enclosure opening of the removable component.

Abstract: A computer-implemented to control access to data on an off-premises storage system. The method includes defining an access policy for a plurality of files in a file system stored in an on-premises storage system. The method further includes registering the access policy with a first off-premises storage system. The method also includes creating a resource-based cloud access policy based on an on-premise access policy. The method includes determining a set of files from the plurality of files to migrate to the off-premises storage. The method also includes obtaining, for the set of files, an access policy as access metadata. The method further includes migrating the set of files and the access metadata to the off-premises storage.

Abstract: Method, computer program product, and computer system are provided. Traffic is collected against a NoSQL database by an activity collector. A database transaction log is periodically extracted and analyzed. The collected traffic and the analyzed database transaction log are input to building a knowledge base of database access patterns. Current traffic is captured and used to compute an activity threshold. Traffic is directed to a workload processor based on the activity threshold. Traffic is directed to an intensive insert/update/delete (IUD) processor in response to the activity threshold exceeding a configured threshold. A plurality of temporary shards is generated along with an adaptive key and adaptive index in the plurality of temporary shards. The intensive IUD processor traffic is re-directed to the plurality of temporary shards while the activity threshold exceeds the configured threshold.

Abstract: Described are techniques for generating and employing decentralized asset identifiers for cross-blockchain network asset transfers, the techniques including registering a decentralized asset identifier to an asset with a local asset identifier, where the decentralized asset identifier is immutable. The techniques further include endorsing a proposed transaction for transferring the asset from a first controller associated with a first blockchain network to a second controller associated with a second blockchain network, where the proposed transaction utilizes the decentralized asset identifier. The techniques further include exchanging, in a document associated with the decentralized asset identifier and retrieved from an identity network, the first controller for the second controller.

Abstract: A solution is proposed for controlling access to data that are broadcast over a telecommunication medium. A corresponding method comprises validating by a plurality of validator devices an access request that is submitted by an access device for accessing the data. The validator devices update a blockchain by adding a new block comprising an indication of the access request in response to a positive result of its validation. A provider system transmits cryptographic information for decrypting the data to the access device in response to the new block. A corresponding method for broadcasting data by a provider system and a corresponding method for accessing broadcast data by an access device are proposed. Corresponding computer programs and computer program products for performing the methods are also proposed. Moreover, corresponding structure, provider system and access device are proposed.

Abstract: An approach for adjusting the inclination of a solar panel and the pitch of one or more micro-turbines to maximize power output. The approach predicts wind velocity at a small opening of an inclined solar panel wherein a plurality of micro-turbines is located. The approach predicts solar irradiance striking the inclined solar panel. The approach calculates an optimal solar panel inclination angle and micro-turbine pitch based on maximizing power output. The approach adjusts the solar panel inclination angle and micro-turbine pitch based on the calculation.

Abstract: A method, computer program product and system are provided for preloading debug information based on the presence of incremental source code files. Based on parsed input parameters to a source code debugger, a source code repository and a local storage area are searched for an incremental file. In response to the incremental file being located, a preload indicator in the incremental file, which is a source code file, is set. Based on the preload indicator being set, debug symbol data from the incremental file is merged to a preload symbol list. In response to receiving a command to examine the debug symbol data from the incremental file, the preload symbol list is searched for the requested debug symbol data.

Abstract: A constraint graph for a candidate routing solution is created; each node in the graph represents a position of an end of a metal shape and each arc in the graph represents a design rule constraint between two of the nodes. A solution graph is computed, for at least a portion of the constraint graph, using a shape processing algorithm. The solution graph is checked for design rule violations to generate one or more violation graphs. A constraint window and a selection of one or more arcs for at least one of the violation graphs are generated. The candidate routing solution is revised, based on one or more violated design rules corresponding to at least one of the selected arcs within the constraint window. Optionally, an integrated circuit is fabricated in accordance with the revised solution.

Abstract: To automate time series forecasting machine learning pipeline generation, a data allocation size of time series data may be determined based on one or more characteristics of a time series data set. The time series data may be allocated for use by candidate machine learning pipelines based on the data allocation size. Features for the time series data may be determined and cached by the candidate machine learning pipelines. Predictions of each of the candidate machine learning pipelines using at least the one or more features may be evaluated. A ranked list of machine learning pipelines may be automatically generated from the candidate machine learning pipelines for time series forecasting based upon evaluating predictions of each of the one or more candidate machine learning pipelines.

Abstract: This disclosure provides a method, a computing system, and a computer program product for managing prefetching of pages in a database system. The method comprises obtaining shared information associated with page access, wherein the shared information associated with the page access includes information associated with the page access from a plurality of computing nodes. The method further comprises determining whether to prefetch a number of pages into a global buffer pool based at least on the shared information associated with the page access using a sequential prefetching method.

Abstract: A computer-implemented method and a computer system for detecting and preventing distributed data exfiltration attacks. The computer system calculates historical usage statistics for a service, instances of the service, and clients requesting the instances, generates a baseline of normal usage activities for the clients and the instances based on the historical usage statistics, monitors current activities of the clients to build signatures of queries by the clients and signatures of the instances, and correlates the signatures to determine whether a data exfiltration attack is in progress. In response to determining that the data exfiltration attack is in progress, the computer system increases one or more risk scores corresponding to the data exfiltration attack. In response to determining that the one or more risk scores and an overall risk score of the service exceed a predetermined threshold, the computer system generates an alert of the data exfiltration attack.

Abstract: A computer-implemented method, a computer system and a computer program product generate a contextual display for a mobile computing device. The method includes identifying a task for the mobile computing device, wherein the task comprises a set of applications on the mobile computing device. The method also includes obtaining application usage data for each application in the set of applications and determining an application context for the task based on the application usage data and the set of applications, wherein the application context includes usage requirements for each application. In addition, the method includes generating a tile view for each application in the set of applications, wherein each tile view is laid out based on the usage requirements. Lastly, the method includes displaying a task view on the mobile computing device, wherein the task view is generated by laying out the tile views based on the usage requirements.

Abstract: An approach for automatically generate the Natural Language Interface (NLI) directly from the Graphical User Interface (GUI) code is disclosed. The approach leverages the use of mapping between GUI components to pre-defined NLI components in order to generate the necessary NLI components (e.g., intent example, entities, etc.) from the GUI code representation. The approach can leverage pre-defined patterns in order to generate these intent examples for each kind of NLI components. The created NLI dialog can be used simultaneously with the GUI or as a standalone feature.

Abstract: A method, computer program product, and computer system are provided. An enhanced compiler identifies instructions for execution among them, instructions directed to an inner computation unit of a CPU core. In response to identifying instructions directed to the inner computation unit, locating in a system call table a system call to indicate a begin of an executable code block of instructions that are directed to the inner computation unit of the CPU core. The enhanced compiler searches the system hardware registry for the parameter corresponding to the inner computation unit of the CPU core. The system call is inserted as an interrupt instruction in the compiler output at the begin of the executable code block of instructions that are directed to the inner computation unit of the CPU core. The enhanced compiler executable code output is saved for later selection by a scheduler of an operating system.

Abstract: A method, computer program product, and computer system for translating, using a beam search, a source sentence in a source language into a target sentence in a target language by an iterative process.

Abstract: Tasks of directed acyclic graphs (DAGs) may be dynamically scheduled based on a plurality of constraints and conditions, task prioritization policies, task execution estimates, and configurations of a heterogenous system. A machine learning component may be initialized to dynamically schedule the tasks of the DAGs.

Abstract: Various embodiments are provided for intelligent application of operational rules to operational data in a computing environment by a processor. One or more operational rules may be extracted and formalized from a knowledge graph, a domain knowledge, or a combination thereof describing one or more operational policies and conditions. The one or more operational rules may be applied to operational data to identify and filter non-compliant operational data.

Abstract: Embodiments relate to a system and method for managing energy consumption of one or more processor cores in a multicore processing device. The method includes establishing a temporal interval that includes a plurality of temporal periods and an interval energy target for one or more processor cores. The method also includes determining for each temporal period a period energy target for the processor cores and determining a processor core throttling state for the processor cores. The method further includes adjusting the respective period energy target and the respective processor core throttling state at the beginning of each successive temporal period. The method also includes converging, subject to the adjusting, as each respective temporal period of the plurality of temporal periods is concluded, a total period energy consumption of the processor cores with the interval energy target.

Abstract: Embodiments of the present disclosure relate to a solution for translation verification and correction. According to the solution, a neural network is trained to determine an association degree among a group of words in a source or target language. The neural network can be used for translation verification and correction. According to the solution, a group of words in a source language and translations of the group of words in a target language are obtained. An association degree among the group of words and an association degree among the translations can be determined by using the trained neural network. Then, whether there is a wrong translation can be determined based on the association degrees. In some embodiments, corresponding methods, systems and computer program products are provided.

Abstract: Embodiments are disclosed for a method. The method includes receiving an annotation set for a machine learning model. The annotation set includes multiple data points relevant to a task for the machine learning model. The method also includes determining total weights corresponding to the data points. The total weights are determined based on multiple ordering constraints indicating multiple data classes and corresponding weights. The corresponding weights represent a relative priority of the data classes with respect to each other. The method further includes generating an ordered annotation set from the annotation set. The ordered annotation set includes the data points in a sequence based on the determined total weights.

Abstract: According to one embodiment, a method, computer system, and computer program product for object detection. The embodiment may include receiving an annotated image dataset comprising rectangles which surround objects to be detected and labels which specify a class to which an object belongs. The embodiment may include calculating areas of high and low probability of rectangle distribution for each class of objects within images of the dataset. The embodiment may include applying a correction factor to confidence values of object prediction results, obtained during validation of a trained object detection (OD) model, depending on a class label and a rectangle location of an object prediction result and calculating an accuracy of the trained OD model. The embodiment may include increasing the correction factor and re-calculating the accuracy of the trained OD model with every increase. The embodiment may include selecting an optimal correction factor which yields a highest accuracy.

Abstract: A method, system and apparatus for protecting against out-of-bounds references, including storing an address of a buffer in a general register and storing bounds information (BI) for the buffer in a bounds information register, and when a content of the general register is used as an address in a load or store operation, using a content of the bounds information register to determine if the load or store is out of bounds.

Abstract: A method (and structure and computer product) of machine translation for processing input questions includes receiving, in a processor on a computer, an input question presented in a natural language. The input question is preprocessed to find one or more condition values for possible Structured Query Language (SQL) queries. One or more possible SQL queries are enumerated based on the one or more found condition values and a paraphrasing model is used to rank the enumerated SQL queries. The highest ranked SQL query is executed against a relational database to search for a response to the input question.

Abstract: A system for classifying a language sample intent by receiving a language sample including a set of features, identifying language sample features, determining a tokenization score for the language sample according to the language sample features, eliminating duplicate features according to the tokenization score, determining a term frequency (tf) according to the identified features and the tokenization score, determining an inverse document frequency (idf) according to the identified features and the tokenization score, and generating a term frequency-inverse document frequency (tf-idf) matrix for the identified features.

Abstract: An approach is provided for training classifiers used in machine learning. A corpus of training data is received. One or more clusters of the training data is generated according to features of the training data. The one or more clusters are refined using user-specified rules. One or more classifiers are trained for use in machine learning based upon the refined one or more clusters.

Abstract: In an approach to optimizing dynamic system reconfiguration, a computer receives an active system configuration and a target system configuration from a system administrator, where the target system configuration includes two or more logical partitions. A computer determines one or more reconfiguration actions required to transform the active system configuration to the target system configuration. A computer generates a dependency graph based on the determined reconfiguration actions. A computer divides the dependency graph along the two or more logical partitions. A computer sorts the determined reconfiguration actions by associated dependencies. A computer orders the determined reconfiguration actions based on a priority of each of the two or more logical partitions. A computer runs a first simulation of the determined reconfiguration actions for each of the two or more logical partitions. A computer performs the determined reconfiguration actions for each of the two or more logical partitions.

Abstract: A coordinator module for improving communications within a cloud computing system is disclosed. The coordinator module initiates transaction requests by generating a coordination context, where the coordination context includes a transaction context, a coordination type, and an initiator supplemental address. The coordinator module includes a supplemental address handler for creating the initiator supplemental address that unique identifies the coordinator module and the associated pod. The coordinator module receives transaction responses, where the transaction response includes a coordination context. The coordinator module includes a transaction context checker to verify that the transaction response was not received in error, by comparing the received transaction context with a saved transaction context. The coordinator module includes a registration bridge that identifies an alternate coordinator module and alternate pod to process the transaction response if the transaction contexts do not match.

Abstract: Disclosed are a computer-implemented method, a system and a computer program product for feature processing. In the computer-implemented method for feature processing, two input features selected from multiple features of each sample in a sample set are projected to one resulting feature by one or more processing units based on a specified curve. The sample set is updated by replacing the two input features with the one resulting feature for each sample in the sample set by one or more processing units. The projecting and the updating for the sample set are repeated by one or more processing units until the number of features of each sample in the sample set reaches a predetermined criterion.

Abstract: Embodiments are provided for error mitigation in quantum programs. In some embodiments, a system can include a processor that executes computer-executable components stored in memory. The computer-executable components include a compilation component that causes encoding of one or more qubits according to a circular repetition code at a time after operations on the one or more qubits and before readout.

Abstract: Techniques facilitating hardware-based memory-error mitigation for heap-objects. In one example, a system can comprise a process that executes computer executable components stored in a non-transitory computer readable medium. The computer executable components comprise: an entry component; and a re-purpose component. The entry component can allocate an entry in a table to store bounds-information when an object is allocated in memory. The re-purpose component can re-purpose unused bits of an object address to store an index to the table entry.

Abstract: A method, computer system, and a computer program product for semi-automated exam grading are provided. An exam that includes a question is received. A model answer to the question is received. The model answer includes an essay form. A computer system identifies constructs in the model answer. An examinee answer sheet that includes an examinee answer to the question is received. The computer system grades the examinee answer of the examinee answer sheet based on the constructs of the model answer. The computer system presents the graded examinee answer sheet to an evaluator for review. The graded examinee answer sheet includes one or more distinction markers along with the examinee answer. The one or more distinction markers indicate respective priority levels of corresponding portions of the examinee answer.

Abstract: In an approach to providing a notification of content to a marketplace subscriber, one or more computer processors monitor a query for content in an online marketplace. One or more computer processors determine that the content was not found. One or more computer processors receive new content to the online marketplace. One or more computer processors determine that the new content corresponds to the query for which the content was not found. One or more computer processors send a notification of the new content.

Abstract: Implement one or both of processing of computer queries using machine learning models and/or generation of machine learning models in a computer system. A computer processor generates a plurality of stored machine learning models. A computer processor extracts a plurality of updated parameters sets from the plurality of stored machine learning models. A computer processor creates a new machine learning model based on the respective distribution of each parameter included in the plurality of updated parameters sets. A computer processor processes at least one new query using the new machine learning model.

Abstract: In an approach for compressing a neural network, a processor receives a neural network, wherein the neural network has been trained on a set of training data. A processor receives a compression ratio. A processor compresses the neural network based on the compression ratio using an optimization model to solve for sparse weights. A processor re-trains the compressed neural network with the sparse weights. A processor outputs the re-trained neural network.

Abstract: A computer-implemented method according to one embodiment includes building a knowledge graph of resource vendors. The method further includes identifying resources that are in relatively short supply in a host system, and determining, using a matching algorithm, a first of the resource vendors in the knowledge graph from which to temporarily lease the identified resources to the host system. The first resource vendor includes the identified resources and satisfies policy prerequisites of the host system. A lease is caused to be issued, from the first resource vendor to the host system, for the identified resources. A computer program product according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method.

Abstract: Context information of a handshake between a source entity and a target entity is obtained at a security proxy. The context information is transmitted from the security proxy to a key manager. The key manager maintains a first private key of the security proxy. A first handshake message is received from the key manager. The first handshake message is generated at least based on the context information and signed with the first private key. The first handshake message is then transmitted to the target entity.

Abstract: A computer-implemented method for correcting muffled speech caused by facial coverings is disclosed. The computer-implemented method includes monitoring a user's speech for speech distortion. The computer-implemented method further includes determining that the user's speech is distorted. The computer-implemented method further includes determining that a cause of the user's speech distortion is based, at least in part, on a presence of a particular type of facial covering. The computer-implemented method further includes automatically correcting the speech distortion of the user based, at least in part, on the particular type of facial covering causing the speech distortion.

Abstract: An assembly includes a chip including an integrated circuit, a casing including an integrated circuit and having an upper portion formed on a side of the chip and lower portion formed on another side of the chip, plural through-wafer vias (TWVs) for electrically connecting the integrated circuit of the chip and the integrated circuit of the casing, a system board configured to be electrically connected to the casing, and upper and lower cards connected to the casing for electrically connecting the casing to the system board.

Abstract: According to one embodiment, a method, computer system, and computer program product for wearable device activity analysis is provided. A computer receives a video of an activity. The computer identifies the activity based on analyzing the video. The computer identifies body movements from the video. The computer correlates the activity and the body movements to a wearable device. The computer identifies additional inputs for the activity and updates the wearable device based on the identified additional inputs.

Abstract: Aspects of the present disclosure relate to virtual reality (VR) based commerce experience enhancement. A set of user data associated with a user can be received. A session of a VR commerce environment can be initiated with the user. A set of products to include in the VR commerce environment can be selected based on the set of user data. A position and orientation of each of the products of the set of products within the VR commerce environment can be determined based on the set of user data. The set of products can be displayed within the VR commerce environment according to the determined position and orientation of each product of the set of products.

Abstract: Technology for inspection for detecting a defect of a printed matter using machine logic informed by machine learning. Some embodiments of the present invention may include one, or more, of the following features: (i) generates defect datasets; (ii) generates defect libraries; (iii) uses the generated defect libraries for deep learning training; and (iv) uses machine learning to detect defects using computer code (for example, a *.jpg format file) corresponding to an image of a piece of printed matter instead of using a visual image (that is, an image of the type that is created when a person takes a picture using a traditional film camera).

Abstract: Aspects of the present disclosure provide a computer-implemented method that includes obtaining the medical condition of the individual based at least in part on a personal identifier associated with the individual, the medical condition being determined by performing natural language processing of medical information associated with the individual. The method further includes obtaining characteristics of the plurality of items. The method further includes comparing the characteristics of the plurality of items to a restriction associated with the medical condition of the individual. The method further includes, responsive to determining that at least one of the characteristics of the plurality of items violates the restriction associated with the medical condition of the individual, preventing the individual from obtaining the item of the plurality of items associated with the violation.

Abstract: Embodiments may include novel techniques to improve detection of objects in images, for example, in Digital Breast Tomography and that are applicable to ensembles of detectors. For example, a method may comprise generating a plurality of candidate bounding boxes for each of a plurality of image slices of imaged tissue, each generated candidate bounding box having a probability score, collecting at least some of the generated candidate bounding boxes for each slice, generating a heat map of the filtered candidate bounding boxes and filtering the candidate bounding boxes in the heat map based on a first threshold of values in the heat map, performing Non-Maximum Suppression on the heat map filtered candidate bounding boxes, and outputting at least one bounding box based on the probability score.

Abstract: Mechanisms are provided to receive encoded header information stored on a tape of a tape drive, wherein the encoded header information has been generated by: generating, for a plurality of tracks of the tape of the tape drive, a header information in a plurality of symbols, wherein the plurality of symbols is comprised of a first set of symbols and a second set of symbols, wherein the first set of symbols include identical information across all tracks of the plurality of tracks, and wherein the second set of symbols are configurable to include different information across all tracks of the plurality of tracks; and modifying, for writing to the tape of the tape drive, the first set of symbols of the plurality of tracks to include parity information corresponding to information included in the second set of symbols of the plurality of tracks. The received encoded header information is decoded.

Abstract: Embodiments for providing intelligent land use planning recommendations using heterogeneous temporal datasets in a computing environment. One or more positive land-use interventions, one or more negative land-use interventions, or a combination thereof may be recommended for a selected geographical region from heterogeneous chronological data.

Abstract: A method, a computer system, and a computer program product for security risk analysis is provided. Embodiments of the present invention may include collecting operational data. Embodiments of the present invention may include building pipelines. Embodiments of the present invention may include localizing security issues using the operational data on an unsupervised model. Embodiments of the present invention may include constructing a semantic graph using shift-left data. Embodiments of the present invention may include constructing a mapping between the operational data and the shift-left data. Embodiments of the present invention may include clustering collected datasets. Embodiments of the present invention may include creating an active learning cycle using ground truth.