Abstract: Method and system are provided for power path identification in a power distribution system. The method transmits a data signal through a power line infrastructure including adding an identifier value at multiple points of the infrastructure to the data signal to form a concatenated path identifier formed of the identifier values. The method reads the path identifier at a reading point of the infrastructure to obtain power path information to or from the reading point in the power line infrastructure. A system may include a plurality of path identification devices each provided at a connection point of the power distribution system to transmit connection point identifiers to form a concatenated path identifier with identifier values of other connection points.

Abstract: A semiconductor structure includes a resistance tunable fuse stack structure. A fabrication method for forming the same includes forming on a substrate layer a first fuse conductive layer, directly on, and contacting a top surface of, the substrate layer, followed by forming a first inter-layer dielectric (ILD) layer, directly on, and contacting a top surface of, the first fuse conductive layer. The method forms a second fuse conductive layer, directly on, and contacting a top surface of, the first ILD layer, followed by forming a second ILD layer, directly on, and contacting a top surface of, the second fuse conductive layer, the layers are interleaved in a stack forming a fuse stack structure. First and second fuse contacts are formed in the fuse stack structure vertically extending through the layers and contacting the first and second fuse conductive layers.

Abstract: A computer program product for acclimating at least one electronic data storage library component for insertion or removal from an electronic data storage library, the computer program product comprising: one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media. The program instructions include program instructions to insert at least one data storage library component into an acclimation device; to monitor at least one environmental condition within the acclimation device; to determine if the at least one environmental condition within the acclimation device meets a predetermined threshold; to adjust the at least one environmental condition within the acclimation device; and to remove the at least one electronic data storage library component from the acclimation device in response to determining that the at least one environmental condition within the acclimation device meets the predetermined threshold.

Abstract: A computer-implemented method includes receiving, by a processor, an updated version of a computer program that includes several source code changes. A compiler preprocesses the source code changes for a target computing platform. The preprocessing includes identifying a compile time condition associated with one or more computer instructions enclosed by a macro, determining a current value of the compile time condition at the time of compiling, and determining corresponding object code based on the current value. Further, a macro information record for the macro is generated that includes the compile time condition, the current value, and an identification of the computer instructions. Further, a linker preprocesses the source code changes. This preprocessing includes determining that the object code is not included in an executable file, and updating the macro information record to indicate that the macro is not included in the executable file.

Abstract: Cognitive pre-loading of referenced content in electronic mail (e-mail) messages includes determining, using computer hardware, metadata for an electronic message directed to a user, detecting, using the computer hardware, a universal resource locator (URL) within a body portion of the electronic message, determining, using the computer hardware, a content type for the URL, and performing, using the computer hardware, natural language processing on the electronic message to determine an action importance corresponding to the URL. At least a portion of content specified by the URL can be pre-fetched from a data processing system based on the metadata, the content type of the URL, and the action importance. The electronic message and at least a portion of the content can be provided to a client device of the user.

Abstract: Embodiments for entity transaction interaction analysis and summarization by a processor. Transaction elements relating to one or more entity transaction interactions may be identifies and extracted from one or more communications. The transaction elements may be combined with one or more transaction opportunities and transaction historical data to provide a transaction summary.

Abstract: A method and/or system includes: adding a new source of data to be stored in the data storage system; obtaining the schema for the new source of data to be stored in the data storage system; storing the data to be stored in the data storage system in a Not Only Structured Query Language (NOSQL) database in the data storage system; and storing schema for the data to be stored in the data storage system in a metadata store in the electronic data storage system wherein the metadata store is separate from the NOSQL database.

Abstract: In an approach to transient identification generation, one or more computer processors receive a request for one or more identification artifacts associated with a user from a requesting entity. One or more computer processors determine a first set of identification artifacts. One or more computer processors transmit the first set of identification artifacts to the requesting entity. One or more computer processors determine whether the first set of identification artifacts is an approved response to the request for the one or more identification artifacts. In response to determining the first set of identification artifacts is the approved response to the request for the one or more identification artifacts, one or more computer processors generate a transient identification that includes the first set of identification artifacts. One or more computer processors transmit the transient identification to the requesting entity.

Abstract: Predicting weather radar images by building a first machine learning model to generate first predictive radar images based upon input weather forecast data, and a second machine learning model to generate second predictive radar images based upon historical radar images and the first predictive radar images. Further by generating enhanced predictive radar images by providing the first machine learning model weather forecast data for a location and time and providing the second machine learning model with historical radar images for the location and an output of the first machine learning model.

Abstract: Aspects of the invention include an optimal interpretable decision tree using integer linear programming techniques. A non-limiting example computer-implemented method includes receiving, using a processor, a plurality of data inputs from a process and selecting, using the processor, a data subset from the plurality of data inputs by solving linear programming to obtain a solution. The method builds and optimizes, using the processor, an optimal decision tree based on the data subset and alerts, using the processor, a user when a prediction of the optimal decision tree is greater than a threshold value.

Abstract: Embodiments of the present systems and methods may provide techniques to distinguish between data categories. For example, a method implemented in a computer system may comprise obtaining, at the computer system, a plurality of data strings in different categories, each category having a same string pattern, determining a loose string format and a set of restrictions based on at least one string pattern, classifying the plurality of data strings to respective different categories based on a loose string format of the data strings and on the restrictions on the data strings of the different categories using a classification score indicating utilizing restriction information of other categories when determining the matching of a category, and decreasing the classification score if a mean restriction matching proportion is not part of a category or is a threshold amount above an expected mean restriction matching proportion.

Abstract: A method, computer system, and a computer program product for text bias identification and correction are provided. A first text corpus may be received. A designation of a second text corpus may be received. Words of the first text corpus may be embedded as a first word embedding in an embedding model. The first word embedding may be compared to a second word embedding in the embedding model to identify a first biased text in the first text corpus. The second word embedding may be from the second text corpus. A first replacement text portion may be generated as a substitute for the first biased text. The first replacement text portion may include a first unbiased text. The first biased text and the first replacement text portion may be presented.

Abstract: Embodiments can provide a computer implemented method for simulating transaction data using a reinforcement learning model, the method including: generating an artificial customer profile by combining randomly selected information from a set of real customer profile data; providing standard customer transaction data representing a group of real customers having similar transaction characteristics as a goal; conducting, by the intelligent agent, an action including a plurality of simulated transactions; comparing, by the environment, the action with the goal; providing, by the environment, a feedback associated with the action based on a degree of similarity relative to the goal; adjusting, by the policy engine, a policy based on the feedback; the step of conducting an action to the step of adjusting a policy are repeated until the degree of similarity is higher than a first predefined threshold; and combing the artificial customer profile with the action to form simulated customer data.

Abstract: Methods, systems, and computer program products for training an artificial intelligence (AI) of a voice response system. Aspects include receiving, by the voice response system from a user, a voice command to perform a requested action and interpreting, by an AI model, the voice command. Aspects also include performing an action based on the interpretation of the voice command and receiving non-verbal feedback from the user. Aspects further include updating the AI model based on a determination that the non-verbal feedback indicates that the user is not satisfied with the action performed.

Abstract: Techniques regarding determining and/or analyzing temperature distributions experienced by quantum computer devices during operation 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 region component that can define a plurality of temperature regions from a quantum computing device layout. The computer executable component can also comprise a map component that can generate a map that characterizes a temperature distribution by determining at least one temperature achieved within the plurality of temperature regions during an operation of the quantum computing device layout.

Abstract: A memory system and method for storing data in one or more storage chips includes: one or more memory cards each having a plurality of storage chips, and each chip having a plurality of dies having a plurality of memory cells; a memory controller comprising a translation module, the translation module further comprising: a logical to virtual translation table (LVT) having a plurality of entries, each entry in the LVT configured to map a logical address to a virtual block address (VBA), where the VBA corresponds to a group of the memory cells on the one or more memory cards, wherein each entry in the LVT further includes a write wear level count to track the number of writing operations to the VBA, and a read wear level count to track the number of read operations for the VBA mapped to that LVT entry.

Abstract: Aspects include circuitry that includes a first global generation counter (GGC) that is increased upon decoding of a branch instruction and a second GGC that is increased upon a completion of the branch instruction. Upon a triggered rollback, the first GGC is reset. The circuitry also includes a generation tag memory associated with a register that receives loads during a side-channel attacks which is set to the first GGC upon a first load, and a determination unit to determine, for a second load from an address depending on the register of the first load, a generation tag value associated with the register of the second load as a function of the first GGC, the second GGC, and the generation tag value associated with the register of the first load. A wait queue is configured to block the second load, if the generation tag is larger than the second GGC.

Abstract: Content for products can be identified. For each identified content, at least one class to which the first content pertains can be predicted using an artificial intelligence multiclass model. For each identified first content that corresponds to the at least one class, a support level of the product with regard to at least one class can be predicted using artificial intelligence binary class models. For each identified product, data indicating the product and the support level of the product with regard to the at least one class can be added to a data table. A product features map based on the data indicating the products and a support level of each product with regard to the at least one class can be generated and output.

Abstract: Aspects of the invention include a wafer test device with a conformal laminate and rigid probes extending from the laminate to form an electrical connection with a microcircuit under test. The wafer test device also includes a spring plate on a side of the laminate that is opposite a side from which the rigid probes extend. The spring plate includes a conformal inner frame and a rigid outer frame. The laminate is attached to the inner frame of the spring plate.

Abstract: Embodiments for managing a computing system are provided. A Root-of-Trust (RoT) device within the computing system is caused to boot. The computing system includes at least one peripheral device, and the RoT device is in operable communication with the at least one peripheral device and a management server. The at least one peripheral device is caused to at least partially boot. The RoT device is caused to retrieve a firmware image associated with the at least one peripheral device from the management server. The at least one peripheral device is caused to reboot utilizing the firmware image.

Abstract: An instruction is executed to perform a query function. The executing includes obtaining information relating to a selected model of a processor. The information includes at least one model-dependent data attribute of the selected model of the processor. The information is placed in a selected location for use by at least one application in performing one or more functions.

Abstract: An approach is provided for improving a named entity recognition. Using a multi-label classification in a neural network, a sub-entity is identified in an original sentence. First and second labels are determined indicating first and second candidate types of the sub-entity. First and second replacement sentences are generated. The first replacement sentence replaces the sub-entity in the original sentence with a first sub-entity of the first candidate type. The second replacement sentence replaces the sub-entity in the original sentence with a second sub-entity of the second candidate type. First and second confidence scores for the first and second replacement sentences are determined. Based on the first confidence score exceeding the second confidence score by more than a threshold amount, the neural network is retrained by selecting the first instead of the second candidate type as the sub-entity type.

Abstract: A computer-implemented method, a computer program product, and a system for reducing labeled sample quantities required to update test sets. The computer-implemented method includes inputting a portion of unlabeled production data into a base model and generating labeled output relating to the unlabeled production data. The computer-implemented method also includes inputting the labeled output into a performance predictor. The performance predictor is a meta model of the base model that is trained with another portion of the unlabeled production data, a training set used to train the base model, and a test set portioned from the training set. The computer-implemented method further includes outputting, by the performance predictor, a performance metric relating to the labeled output produced by the trained base model. The performance metric can be any metric capable of measuring the output performance of the base model.

Abstract: A network interface card (NIC) and a method for stablishing a connection between virtual machines of a network. The NIC includes: a programmable switching ASIC (application-specific integrated circuit), a central processing unit (CPU), multiple Ethernet controllers, and multiple on-board transceivers functioning as external ports. The switching ASIC functions as a switch that manipulates data traffic within the NIC including by switching the data traffic between and among the CPU, the Ethernet controllers, and the on-board transceivers. The method includes: installing rules that route a Synchronize (SYN) packet from a source virtual machine (VM) through a software engine, appending a signed cookie to the SYN packet; verifying that a policy represented by the signed cookie appended to the SYN packet matches a policy of a destination VM; and returning the SYN packet to the source VM which establishes a connection between the source VM and the destination VM.

Abstract: Managing digital asset representation of physical assets in IoT systems and environments. A digital twin is created, tracked, and modified throughout the physical asset's lifetime using a digital registry having a data record including a unique identifier (optionally encrypted) and a storage device location information for the digital twin. A physical tag is coupled to the physical asset and scanned for read and write operations from and to the digital twin. The digital twin can move to a new storage device across a cloud environment and the registry maintains consistent access.

Abstract: A computer-implemented method according to an aspect includes training a cognitive network, utilizing metadata associated with historic data threats, inputting metadata associated with a current data threat into the trained cognitive network, identifying, by the trained cognitive network, one or more stored instances of data determined to be vulnerable to the current data threat, and adjusting one or more security aspects of the one or more stored instances of data determined to be vulnerable to the current data threat.

Abstract: Embodiments of the invention are directed to a method of forming a semiconductor device. A non-limiting example of the method includes performing fabrication operations to form a field effect transistor (FET) device on a substrate. The fabrication operations include forming a channel region over the substrate, forming a bottom conductive layer of a wrap-around source or drain (S/D) contact over the substrate, and forming a S/D region over the bottom conductive layer and adjacent to the channel region. The S/D region is communicatively coupled to the channel region and the bottom conductive layer.

Abstract: Fabricating a crystalline metal-phosphide layer may include providing a crystalline base substrate and a step of forming a crystalline metal-source layer. The method may further include performing a chemical conversion reaction to convert the metal-source layer to the crystalline metal phosphide layer. One or more corresponding semiconductor structures can be also provided.

Abstract: Methods, apparatus, computer program products for handling critical problem exceptions during an execution of an application are provided. The method comprises: detecting, by one or more processing units, an occurrence of a certain type of critical problem exception during an execution of an application, the critical problem exception resulting in a termination of the application; instructing, by one or more processing units, to call a Super Handling Routine (SHR) corresponding to the type of the critical problem exception at a pre-configured address based on a pre-determined context registered by the application, the SHR being configured to handle critical problem exceptions; and handing, by one or more processing units, control to the SHR to handle the type of the critical problem exception.

Abstract: A method for forming an electronic chip assembly. A first metal plate is coupled to a first side of a substrate to form a backing plate. A first cavity is created extending through the substrate to extend at least to the first metal plate. An electronic component is bonded to the substrate such that the electronic component is located within the first cavity. A second metal plate, having a second cavity, is disposed to a second side of the substrate, and over the first cavity such that the electronic component is encased within the first and second cavities by the first and second metal plates.

Abstract: A method, apparatus and computer program product for automated security and regulatory compliance in association with an enterprise. A set of security and compliance controls that operate in association with the enterprise are provided. One or more compliance policies that are enforced by the set of security and compliance controls are encapsulated according to a common data format. One or more customer-specific security/compliance requirements associated with the enterprise are collected. Using microservices-based modular components, the customer-specific security/compliance requirements are then transformed into machine-readable representations having the common data format and that conform to the one or more compliance policies being enforced by the set of security and compliance controls. The one or more compliance policies including the one or more transformed security/compliance requirements are then activated to facilitate the security and regulatory compliance.

Abstract: Embodiments are provided for enabling visual editing of machine learning models in a computing environment by a processor. A multidimensional dataset may be received. The multidimensional dataset may be processed. Visualization and exploration of an interactive representation of a plurality of datasets and decision boundaries of one or more machine learning models built upon multidimensional dataset are provided. Behavior of the one or more machine learning models may be edited via the interactive representation using one or more logical rules or moving the decision boundaries of one or more machine learning models.

Abstract: A compliance discovery and integration process is implemented in association with a cloud-based security and compliance platform and associated CI/CD framework. The process assumes an existing DevOps-based deployment of a product, such as an enterprise application that executes in a runtime production environment. The technique of this disclosure addresses the problem of misalignment between a compliance policy and the product’s post-deployment regulation posture by providing tools and methods that enable pro-active augmentation of governance and compliance policy during the pre-deployment phase and with respect to a next deployment of the product (e.g., a next or updated version). Thus, when the product is later deployed in its next deployment, its regulation posture (post-deployment) is already consistent with the compliance policy.

Abstract: Embodiments facilitating enhanced synergy between machine learning models and annotators in a computing environment by a processor. Annotation tasks may be coordinated between one or more annotators and machine learning models based on one or more annotator preferences and data annotation requirements of a machine learning model. The one or more annotator preferences and the data annotation requirements for coordinating the annotation tasks may be learned over a period of time.

Abstract: Structures are provided that include a metal-insulator-metal capacitor (MIMCAP) present in the back-end-of-the-line (BEOL). The MIMCAP includes at least one of the bottom electrode and the top electrode having a via portion and a base portion that is formed utilizing a subtractive via etch process. Less via over etching occurs resulting in improved critical dimension control of the bottom and/or top electrodes that are formed by the subtractive via etch process. No bottom liner is present in the MIMCAP thus improving the resistance/capacitance of the device. Also, and in some embodiments, a reduced foot-print area is possible to bring the via portion of the bottom electrode closer to the top electrode.

Abstract: A method includes: receiving, by a computer device, an association of a prescribed treatment to a user; receiving, by the computer device, an image of the user; receiving, by the computer device, an image of treatment adherence by the user; determining, by the computer device, adherence to the prescribed treatment by analyzing the image of treatment adherence; and generating, by the computer device, a personalized visualization illustrating the determined adherence to the prescribed treatment by modifying the image of the user.

Abstract: A method, computer system, and a computer program product for AR guidance is provided. The present invention may include detecting a plurality of objects in a video recording associated with completing a task. The present invention may include generating a plurality of three-dimensional (3D) object models based on scanning a plurality of real objects in a task space. The present invention may include matching the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space. The present invention may include generating, based on the video recording, an augmented reality (AR) guidance model for completing the task, wherein the generated AR guidance model replaces the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space.

Abstract: A method and system of checkpointing single process application groups and multi-process application groups. In an exemplary embodiment, the method may include creating at least one full checkpoint for each application in an application group, and creating at least one incremental application checkpoint for each application in the application group. Further, each of the at least one incremental application checkpoint may be automatically merged against a corresponding full application checkpoint. Further, checkpointing may be synchronized across all applications in the application group. In the exemplary embodiment, each application may use both fork( ) and exec( ) in any combination.

Abstract: A system and method for controlling usage of shared demo assets includes embedding a digital watermark into a demo asset created by a first entity, the digital watermark including usage conditions defined by the first entity, tracking a use of the demo asset by a second entity by utilizing the digital watermark embedded into the demo asset, and controlling, by the processor, the use of the demo asset by the second entity based on a compliance with the usage conditions defined by the first entity.

Abstract: Embodiments of the present invention are directed to fabrication methods and resulting interconnect structures having stepped top vias that reduce via resistance. In a non-limiting embodiment of the invention, a surface of a conductive line is recessed below a first dielectric layer. A second dielectric layer is formed on the recessed surface and an etch stop layer is formed over the structure. A first cavity is formed that exposes the recessed surface of the conductive line and sidewalls of the second dielectric layer. The first cavity includes a first width between sidewalls of the etch stop layer. The second dielectric layer is removed to define a second cavity having a second width greater than the first width. A stepped top via is formed on the recessed surface of the conductive line. The top via includes a top portion in the first cavity and a bottom portion in the second cavity.

Abstract: A method, a system and a computer program product may evaluate reduction of disease risk. Patient data of a patient may be received. A selection of a disease outcome may be received. A risk score that the patient will experience the selected disease outcome may be determined. The determining may use the patient data. Intervention options may be generated based on the patient data and by accessing a medical record data structure. An intervention effect for each of the intervention options may be determined. The intervention effect may change the risk score. The intervention effects may be compared. A recommendation of at least one of the intervention options may be provided based on the comparing of the intervention effects.

Abstract: Embodiments for detection of energy consumption anomalies in one or more energy consumption systems in a cloud computing environment by a processor. Energy consumption anomalies associated with a selected facility, a selected object, or a combination thereof may be detected and diagnosed according to feedback and simulation data generated from a scenario-based simulation operation.

Abstract: A system is provided and includes a securable resource, a locking element configured to assume a locked condition in which the securable resource is locked and an unlocked condition in which the securable resource is unlocked and a controller. The controller is receptive of an instruction to authorize users to unlock the securable resource and is configured to perform operating system (OS) level authentication of the users and OS level control of the locking element in accordance with the instruction to authorize users and the OS level authentication.

Abstract: Creating at a target database system, a target table and a history table each having a set of attributes of a source table in addition to at least one time attribute, wherein the time attribute of a record indicates the time when the record is valid. Receiving a request for applying a change of the source table to the target table. The request comprises a time value generated by the source database system indicating a time of the change. The change to the target table and the time value may be assigned to the time attribute of the current version and previous version of the record. The previous version of the record may be stored in the history table. The target table and the history table may be used to process a redirected query comprising a selection criterion on the time attribute.

Abstract: In an approach to improve resolving defects within computer hardware, programs, software, or systems, embodiments pause mainline traffic and isolating interface or retention issues, and determine one or more types of errors in an event of a mainline traffic fail, wherein debug techniques are applied to fail information to resolve or further diagnose the one or more types of errors, and wherein the debug techniques are tracked and categorized. Additionally, embodiments apply corrective read actions to a detected error based on previously stored corrective actions associated with the detected error, and responsive to identifying no additional actions are required, restoring a collected system data. Further, embodiments, resume the paused mainline traffic.

Abstract: A method for verifying semiconductor wafers includes receiving a semiconductor wafer including a plurality of layers. A first set of measurement data is obtained for at least one layer of the plurality of layers, where the first set of measurement data includes at least one previously recorded thickness measurement for one or more portions of the at least one layer. The first set of measurement data is compared to a second set of measurement data for the at least one layer. The second set of measurement data includes at least one new thickness measurement for the one or more portions of the at least one layer. The semiconductor wafer is determined to be an authentic wafer based on the second set of measurement data corresponding to the first set of measurement data, otherwise the semiconductor is determined to not be an authentic wafer.

Abstract: Embodiments of the invention are directed to a computer-implemented method that includes using a reinforcement learning (RL) system to generate a first set of displayed region candidates based on inputs received from online users while watching video. A recommendation system is used to rank the first set of displayed region candidates based on inputs received from a local user watching video. The recommendation system is further used to select a first highest ranked one of the first set of displayed region candidates. Based on the first highest ranked one of the first set of displayed region candidates, a first section of a first raw video frame is fetched that matches the first highest ranked one of the first set of displayed candidate regions, wherein the first section of the first raw video frame includes a first predicted display region of the video frame.

Abstract: Building machine learning models by receiving, a plurality of training process scores associated with the model parameter lists, determining, a best model parameter list according to the training process scores, determining a descendant model parameter list according to the best model parameter list, wherein the descendant parameter list comprises a portion of the best model parameter list, distributing the descendant model parameter list, conducting a model training process according to the descendant model parameter list, determining a training process score according to the descendant model parameter list, and sending the training process score for the descendant model parameter list.

Abstract: A sleeping mask includes a signal processor for processing sensor data, an infrared light source coupled to the signal processor and configured to emit infrared light toward an eyelid of a user, and an array of infrared sensors coupled to the signal processor and configured to receive infrared light reflected from the eyelid of the user.

Abstract: A computer assigns a similarity value to a comparison document. The computer receives, reference document contextual word embeddings in first set of topic clusters, each with a representative embedding. The computer receives comparison document contextual word embeddings. The computer determines, using a trained neural network model classifier, for each comparison document contextual word embedding, topic correspondence values relative to the representative embeddings of said first set of clusters. The computer generates a second set of clusters by assigning comparison document embeddings to best matching one of the first clusters, according to the topic correspondence values. The computer determines a second set of representative embeddings and uses a comparison method, to determine a cluster similarity value for second set clusters compared to first set representative embeddings. The computer determines document similarity values based, at least in part, on at least one of cluster similarity values.