Abstract: Microwave-to-optical transducers in an optical ring resonator having intracavity grating to split a single resonance order are provided. In one aspect, a microwave-to-optical transducer includes: an optical ring resonator with intracavity grating; and a microwave signal waveguide optically coupled to the optical ring resonator with the intracavity grating. Microwave-to-optical transducers having multiple pump photon optical ring resonators and multiple signal photon optical ring resonators optically coupled to the optical ring resonator with the intracavity grating are also provided, as is a method of forming a microwave-to-optical transducer, and a method for microwave-optical transduction.

Abstract: A method configures a cache to implement a LRU management technique. The cache has N entries divided into B buckets. Each bucket has a number of entries equal to P entries*M vectors, wherein N=B*P*M. Any P entry within any M vector is ordered using an in-vector LRU ordering process. Any entry within any bucket is ordered in LRU within the vectors and buckets. The LRU management technique moves a found entry to a first position within a same M vector, responsive to a lookup for a specified key, and permutes the found entry and a last entry in a previous M vector, responsive to the found entry already being in the first position within a vector and the same one of the M vectors not being a first vector in the bucket in the moving step.

Abstract: A database-management system (DBMS) archives a record of a database table by updating the record's unique “Archived” field. This indicates that the record should be considered to have been archived despite the fact that the record has not been physically moved to a distinct archival storage area. When a query requests access to the table, the DBMS determines whether the query requests access to only archived data, only active data, or both. If both, the DBMS searches the entire table. Otherwise, the DBMS scans each record's Archived field to consider only those records that satisfy the query's requirement for either archived or active data. If the DBMS incorporates Multi-Version Concurrency Control (MVCC) technology, the DBMS combines this procedure with MVCC's time-based version-selection mechanism.

Abstract: Providing recommendations for first responders can include receiving, using a processor, real time sensor data from a plurality of sensors, correlating, using the processor, the real time sensor data with historical data for a plurality of prior incidents to determine a selected prior incident matching the real time sensor data, and determining a recommended next action from an operating procedure based upon a next action taken for the selected prior incident.

Abstract: Embodiments relate to an intelligent computer platform to construct ground truth data. A document is subjected to NLP and grammatical elements of the document are identified. The identified grammatical elements are annotated and one or more annotations are assigned to the elements, with each annotation having corresponding meta-data. The assigned annotations are assessed for accuracy and a score associated with the meta-data is adjusted. The annotations are selectively re-assigned with respect to the identified grammatical elements responsive to the adjusted score. Ground truth data is constructed and the selectively re-assigned annotations are assigned to corresponding and identified grammatical elements.

Abstract: A system for cognitive prioritization for report generation may include a processor and a memory cooperating therewith. The processor may be configured to accept a request for a new report from a user, the request having a user profile importance associated therewith and generate a predicted completion time for the new report based upon a historical completion time prediction model based upon historical data for prior reports. The processor may be configured to generate a predicted importance of the new report based upon a historical importance prediction model based upon the historical data for prior reports and determine a combined predicted importance based upon the user profile importance and the predicted importance. The processor may also be configured to generate a prioritization of the new report among other reports based upon the predicted completion time and the combined predicted importance and generate the new report based upon the prioritization.

Abstract: An embodiment includes a method for use by at least one machine learning classifier. The method comprises the machine learning classifier obtaining one or more recent results from at least one geomechanical simulation; the machine learning classifier comparing the recent results to stored historical data; and, based on the comparing, the machine learning classifier deciding at least one reservoir model for use by at least one reservoir simulation.

Abstract: A system and method for cost-based migration planning includes determining cost factors and constraints associated with at least one of migrating and transforming a plurality of components. A cost-based model is constructed using the cost factors and constraints. The cost-based model is applied to groupings of the plurality of components to provide a cost-based determination grouping scheme in accordance with the constraints. The grouping scheme is output to provide migration waves for migrating or transforming the plurality of components.

Abstract: A computer-implemented method for measuring a parameter of a semiconductor. A non-limiting example of the computer-implemented method includes receiving, using a processor, a raw signal from a first tool representing a measured parameter of a semiconductor device. The method also receives, using the processor, data on the measured parameter from a second tool, and calculates, using the processor, the measured parameter based on the data received from the second tool and on a constraint based on the raw signal from the first tool.

Abstract: Embodiments of the invention are directed to a sensor that includes a sensing circuit and a probe communicatively coupled to the sensing circuit. The probe includes a three-dimensional (3D) sensing surface coated with a recognition element and configured to, based at least in part on the 3D sensing surface interacting with a predetermined material, generate a first measurement. In some embodiments, the 3D sensing surface is shaped as a pyramid, a cone, or a cylinder to increase the sensing surface area over a two-dimensional (2D) sensing surface. In some embodiments, the 3D sensing surface facilitates penetration of the 3D sensing surface through the wall of the biological cell.

Abstract: A method of fabricating ultra-thin chips is provided. The method includes patterning circuit elements onto a substrate such that sections of the substrate are exposed and etching trenches into the sections of the substrate to define pedestals respectively associated with a corresponding circuit element. The method further includes depositing stressor layer material onto the circuit elements and applying handling tape to the stressor layer material. In addition, the method includes at least one of weakening the substrate in a plane defined by base corners of the pedestals and initiating substrate cracking at the base corners of the pedestals to encourage spalling of the pedestals off the substrate.

Abstract: One embodiment provides a method, including: receiving a query from a user; identifying that a desired definition of the at least one term is unknown, by determining that the at least one term does not map to a term having a known definition; receiving the definition of the at least one term from the user; adding the definition to a domain grammar comprising (i) domain-specific terminology and (ii) definitions corresponding to the terms within the domain grammar, wherein the adding comprises (a) extracting expressions from the requested definition and (b) adding, for the at least one term, the expressions into a structured format within the domain grammar; combining (iii) the requested definition and (iv) terms from the parsed query having previously known definitions into a complete query; and providing a response to the query by executing the complete query on a knowledge store.

Abstract: A computer-implemented method is presented for performing Q-learning with language model for unsupervised text summarization. The method includes mapping each word of a sentence into a vector by using word embedding via a deep learning natural language processing model, assigning each of the words to an action and operation status, determining, for each of the words whose operation status represents “unoperated,” a status by calculating a local encoding and a global encoding, and concatenating the local encoding and the global encoding, the local encoding calculated based on a vector, an action, and an operation status of the word, and the global encoding calculated based on each of the local encodings of the words in a self-attention fashion, and determining, via an editorial agent, a Q-value for each of the words in terms of each of three actions based on the status.

Abstract: A method, system, and/or computer program product controls a self-driving vehicle (SDV) based on a purchase transaction at a point of sale (POS) device. One or more processors detects a purchase transaction at a device for a product. In response to detecting the purchase transaction at the POS device, the processors(s) transmits instructions to the SDV to transport a passenger associated with the purchase transaction from a location of the POS device to a predetermined location.

Abstract: A medical and/or clinical report includes one or more links to various external (and/or internal) data sources and/or systems that include information relevant to the medical report. In an embodiment, a medical report may be in a PDF format and include links to images associated with the exam, information regarding the patient, a scheduling application useful to schedule additional procedures for the patient, and/or any other information associated with the patient or exam. The medical report, including various links, may be generated based on information received from external medical data systems. For example, a medical report from an external system may be updated to include various links to systems and sources of data related to the medical report, as described herein.

Abstract: Provided are a computer program product, system, and method for fixing anomalies in a preserved data structure used to generate a temporary data structure during system initialization. A preserved data structure in persistent storage is used to build a temporary data structure in a memory of the computing system during initialization of the computing system. The temporary data structure represents computational resources in the computing system and is rebuilt from the preserved data structure during the initialization. The preserved data structure and the temporary data structure are processed to determine whether the preserved data structure includes at least one anomaly that would result in rebuilding the temporary data structure with an error. Information on the preserved data structure and the temporary data structure having the anomaly are processed to determine modifications to correct the preserved data structure. The determined modifications are processed to correct the preserved data structure.

Abstract: An apparatus, a computer program product and a method for dimensionality reduction comprising: obtaining a set of Application Programming Interface (API) functions of a system invocable by a program, and a set of artifacts. Each artifact is associated with at least one API function and indicative of a functionality thereof. The method further comprising: clustering the API functions based on an analysis of the artifacts to create a set of clusters smaller than the set of API functions, such that each cluster comprises API functions having a similar functionality; and performing a dimensionality reduction to a feature vector using the set of clusters.

Abstract: A method, computer system, and a computer program product for user feedback visualization is provided. The present invention may include, receiving at least one image of a product from a user device. The present invention may also include, rendering a product representation of the product based on the received at least one image. The present invention may further include, registering a user-defined product feature associated with the rendered product representation. The present invention may also include, receiving a textual statement corresponding to a user opinion of the user-defined product feature. The present invention may also include, associating, based on natural language processing, at least one segment of the received textual statement with the registered user-defined product feature.

Abstract: The disclosure relates to extraction of rationales for studied outcome. A method comprises: grouping features as expert to align with a set of operating practices; generating interpretable features using operating rules, combining with statistical dependence analysis to bin selected features to generate favorite practice actions; grouping features as expert that combine a subset of the interpretable features to align with a set of operating practices.

Abstract: A method for verification of content of tape cartridges in a tape library system using tape drives of the tape library, is provided. The method includes instructing the tape drive to perform tape cartridge verification on the tape cartridge. The method further includes after completion of the tape cartridge verification, unloading the tape cartridge to its original storage position. The method further includes transmitting verification data of the tape cartridge verification to a database of the tape library system for analysis.

Abstract: Embodiments describe an approach for smart lens-based transactions using eye contact. Embodiments comprise identifying a focus angle of a user wearing a smart lens, determining a smart lens-based transaction is occurring based on the focus angle including a second user or a point of sale sensor for a predetermined amount of time, and verifying the focus angle overlaps with a transacting focus angle of the second user or the point of sale sensor. Additionally, embodiments comprise authenticating the user based on biometric security measures on the smart lens, displaying an augmented reality prompt to the user on the smart lens, wherein the augmented reality prompt on the smart lens prompts the user to select a stored payment method and confirm an amount or file associated with the smart lens-based computing event, and executing the smart lens-based transaction based on the verified overlapping focus angles and the user confirmation.

Abstract: A method, system, and computer program product for detecting multi-scale objects. The method may include receiving a sample dataset including multi-scale objects associated with a specific environment, where the sample dataset has an existing resolution. The method may also include inputting the sample dataset into a trained neural network, where the trained neural network has a plurality of scale regions. The method may also include processing the sample dataset for detecting the multi-scale objects by means of the trained neural network. The method may also include calculating a distribution of contribution degree in a course of processing the sample dataset, where the contribution degree is associated with each of the plurality of scale regions. The method may also include generating a set of configuration parameters associated with the specific environment for the trained neural network based at least in part on the distribution of contribution degree.

Abstract: A computer-implemented method for termination of programs associated with different addressing modes includes receiving a call to an external interface to execute a target callee program from a caller program executing in a primary runtime environment. The external interface allocates an interoperability term area (ITA) in a primary runtime environment. The ITA is accessible by the primary runtime environment and a secondary runtime environment. The external interface executes the target callee program in the secondary runtime environment. The target callee program sets a termination reason parameter in the ITA. In response to the target callee program setting the termination reason parameter, a termination action in the primary runtime environment is performed. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Described are techniques for an access management protocol including a method comprising associating a granted permission set and a constrained permission set to a user profile in an access management system. Respective granted permissions in the granted permission set authorize the user profile to perform the respective granted permissions, and respective constrained permissions in the constrained permission set preclude the user profile from performing the respective constrained permissions. The method further comprises receiving a permission-based request at the access management system and from the user profile and determining that the permission-based request is associated with a permission that is included in both the granted permission set and the constrained permission set. The method further comprises rejecting the permission-based request.

Abstract: Provided are a computer program product, system, and method for generating node access information for a transaction accessing nodes of a data set index. Pages in the memory are allocated to internal nodes and leaf nodes of a tree data structure representing all or a portion of a data set index for the data set. A transaction is processed with respect to the data set that involves accessing the internal and leaf nodes in the tree data structure, wherein the transaction comprises a read or write operation. Node access information is generated in transaction information, for accessed nodes comprising nodes in the tree data structure accessed as part of processing the transaction. The node access information includes a pointer to the page allocated to the accessed node prior to the transaction in response to the node being modified during the transaction.

Abstract: In an approach to improving accuracy through weak model aggregation, one or more computer processors generating a plurality of hyperparameter sets, wherein each hyperparameter set in the plurality of hyperparameter sets contains one or more hyperparameters varied to increase over-training in one or more models, wherein over-training includes overfitting or underfitting. The one or more computer processors create a plurality of weak models utilizing a created bootstrap dataset in a plurality of created bootstrap datasets, a corresponding extracted explanatory variable set, and a corresponding hyperparameter set in the generated plurality of hyperparameter sets, wherein each weak model in a created plurality of weak models shares at least the created bootstrap dataset, the extracted explanatory variable set, the generated hyperparameter set, a machine learning technique, or a model architecture.

Abstract: Split an input dataset into training and test datasets; the former includes a plurality of data examples, each represented as a feature vector, and having an associated true label. Split the training dataset into a plurality of training data subsets; for each, train a corresponding machine learning model to obtain a plurality of such models, and apply same to the test dataset to obtain a plurality of predicted labels and prediction scores. For each of the plurality of examples, compute an agreement metric based on a corresponding one of the associated true labels; corresponding ones of the predicted labels; and corresponding ones of the prediction scores. Based on the computed metric, select, for at least some of the true label values, appropriate ones of the data examples to be added to a regression set. Add the appropriate ones of the data examples from the test dataset to the regression set.

Abstract: A construction of a dynamic object password (DOP) is initiated by selecting an object from a set of objects in a step of the construction. A transformation is applied to the object to form a transformed object by altering a dynamic aspect of the object. A placement operation is performed on the transformed object relative to a field position of the DOP. As a part of the step, a triple is generated including an identifier of the selected object, an identifier of the transformation, and an identifier of the placement operation. The triple is transmitted as a part of transmitting an authorization code, the authorization code forming the DOP.

Abstract: An example operation may include one or more of storing a public key and one or more corresponding addresses associated with a user profile in a blockchain, creating a credential for the user profile based on the public key, forwarding the credential to the one or more addresses, receiving a request for access to a site from a user device associated with the user profile, and retrieving the credential based on the one or more addresses from the blockchain.

Abstract: Neuron placement in a neuromorphic system to minimize cumulative delivery delay is provided. In some embodiments, a neural network description describing a plurality of neurons is read. A relative delivery delay associated with each of the plurality of neurons is determined. An ordering of the plurality of neurons is determined to optimize cumulative delivery delay over the plurality of neurons. An optimized neural network description based on the ordering of the plurality of neurons is written.

Abstract: Methods are provided for producing an authenticated packaged product. A digital signature, dependent on unique message data for the product, is generated via a digital signature scheme using a secret signing key. The message data is provided on at least one of the product and packaging. The digital signature is provided on the other of the product and packaging, and the product is packed in the packaging. The digital signature can be generated via a fuzzy-message digital signature scheme having a verification algorithm for verifying the digital signature in relation to fuzzy data within a predetermined difference measure of the message data. Methods and systems for authenticating such packaged products are also provided.

Abstract: An approach for providing exclusive access to a resource shared by a plurality of processes in a computer system. The approach includes a computer processor retrieving a process identifier for a first process attempting to access the resource, where the process identifier is uniquely assigned to each process of the plurality of processes requiring the resource with the computer system. The approach includes the computer processor using the process identifier for the first process and a mutual exclusion object that includes a lock position allowing exclusive access to the resource and a wait position for a next process to attain the lock position to provide exclusive access to the resource.

Abstract: Embodiments of the invention relate to a time-division multiplexed neurosynaptic module with implicit memory addressing for implementing a neural network. One embodiment comprises maintaining neuron attributes for multiple neurons and maintaining incoming firing events for different time steps. For each time step, incoming firing events for said time step are integrated in a time-division multiplexing manner. Incoming firing events are integrated based on the neuron attributes maintained. For each time step, the neuron attributes maintained are updated in parallel based on the integrated incoming firing events for said time step.

Abstract: A presence of a secondary device is detected by a primary device. The primary device is operating in a first configuration. A current placement of the secondary device is identified by the primary device. Based on the current placement of the secondary device a list of potential future placements of the secondary device is determined by the primary device. The list of potential future placements of the secondary device is prioritized by the primary device. A first candidate future placement of the secondary device is selected based on the list by the primary device.

Abstract: A system and method for cognitive journey monitoring are presented. Embodiments comprise journey prediction, parsing of data sources, risk assessment and mitigation, and natural-language user interaction by a cognitive processor. Data is gathered from a plurality of data sources and analyzed in the context of one or more of the user's intention(s). A dialogue with the user, in natural language, aims to provide and select one or more suggestions relating to the one or more user intention(s) such that the risk(s) relating to the one or more user's intention(s) is reduced. During the dialogue, cognitive reasoning may be performed, wherein the cognitive reasoning includes the ability to justify each suggestion and the ability to infer information from the interaction such as, for example, data obtained in a dialogue may inform subsequent inferences. The embodiments may use speech synthesis and speech recognition in an interactive spoken dialogue.

Abstract: Embodiments of the invention are directed to a method of forming a semiconductor device. In a non-limiting example, the method includes forming a first channel region over a substrate, forming a second channel region over the first channel region, and forming a merged source or drain (S/D) region over the substrate and adjacent to the first channel region and the second channel region. The merged S/D region is communicatively coupled to the first channel region and the second channel region. A wrap-around S/D contact is formed such that it is on a top surface, sidewalls, and a bottom surface of the merged S/D region.

Abstract: Embodiments are described for generating, by the processor, a first event record in response to an event being performed by the computer and generating, by the processor, a first tamper resistance record in response to the first event record being generated. The first tamper resistance record includes a first signature is created based at least in part on the first event record and a second signature is created based at least in part on the first event record. Aspects also includes validating the first event record based on the first signature and the second signature in the first tamper resistance record in response to a request to detect tampering of the first event record.

Abstract: Techniques facilitating forming a backside ground or power plane in stacked vertical transport field effect transistor are provided. A semiconductor structure can include a first field effect transistor (FET). The semiconductor structure can also include a second FET. The first FET can be vertically stacked on a first surface of the second FET. The second FET can be electrically coupled to a conductive plane on a second surface of the second FET, the second surface being opposite to the first surface.

Abstract: A computer-implemented method includes obtaining data associated with execution of a model deployed in a computing environment. At least a portion of the obtained data is analyzed to detect one or more failure conditions associated with the model. One or more restoration operations are executed to generate one or more restoration results to address one or more detected failure conditions. At least a portion of the one or more restoration results is sent to the computing environment in which the model is deployed.

Abstract: Embodiments of the present disclosure relate to object detection in an image. In an embodiment, a computer-implemented method is disclosed. According to the method, image data representing a scene is obtained and sound distribution information related to the scene is obtained. A detection strategy to be applied in object detection is determined based on the sound distribution information. The object detection is performed on the image data by applying the detection strategy. In other embodiments, a system and a computer program product are disclosed.

Abstract: Embodiments of the invention are directed to a method of performing fabrication operations to form a transistor, wherein the fabrication operations include forming a source or drain (S/D) region having an S/D formation assistance region at least partially within a portion of a substrate. An S/D isolation region is formed around sidewalls and a bottom surface of the S/D formation assistance region and configured to electrically isolate the S/D formation assistance region from the substrate.

Abstract: Systems, methods, and computer-readable media are disclosed for identifying customers having associated opportunities for improved growth and/or profitability with respect to product or service offerings and determining investment solutions that enhance the probability that the customers transition to the higher growth/profitability opportunities. Prior customer transactions are segmented based on segmentation criteria and used to generate a transaction graph. The nodes of the transaction graph represent the segmented transactions and client transaction paths between the nodes represent potential customer life-cycle trajectories. The transaction graph can be used to identify high-value penetration opportunities.

Abstract: Embodiments describe an approach for dynamically aligning the computing device's display area with a user's visual focus by analyzing a direction of a display area and a user's visual focus, wherein the display area comprises a target area. Responsive to receiving one or more notifications or a voice command from a user, embodiments describe determining the target area is not aligned with the user's visual focus. Additionally, embodiments describe activating a robotic assembly to align the target area with the user's visual focus, and aligning the target area with the user's visual focus based on a user's current situation, wherein aligning causes the target area and a user's line of visual focus to overlap within a predetermined angular range.

Abstract: Cross-domain integration within product lifecycle management can include providing a plurality of finite state machines (FSMs), wherein each FSM is associated with one business object of an integration flow between a first enterprise information system and a second enterprise information system. Each FSM defines a plurality of lifecycle states of the associated business object. A business rule can be associated with each lifecycle state of each FSM. For each FSM, the associated business rules are independent of the FSM. For a selected lifecycle state of each FSM, the associated business rule defines a condition causing a transition from the selected lifecycle state to a next lifecycle state of the FSM. A network of the plurality of FSMs is established by providing communication links among individual ones of the plurality of FSMs according to the business rules. The communication links define the integration flow.

Abstract: Computer-implemented methods are provided for implementing training of a machine learning model in a heterogeneous processing system that includes a host computer operatively interconnected to an accelerator unit. The training operation involves an iterative optimization process for optimizing a model vector defining the model. Such a method includes, in the host computer, storing a matrix of training data and partitioning the matrix into a plurality of batches of data vectors. For each of successive iterations of the optimization process, a selected subset of the batches is provided to the accelerator unit. In the accelerator unit, each iteration of the optimization process is performed to update the model vector in dependence on vectors in the selected subset for that iteration. In the host computer, batch importance values are calculated for respective batches. The batch importance value is dependent on contributions of vectors in that batch to sub-optimality of the model vector.

Abstract: A BIST engine configured to store a per pattern based fail status during memory BIST run and related processes thereof are provided. The method includes testing a plurality of patterns in at least one memory device and determining which of the plurality of patterns has detected a fail during execution of each pattern. The method further includes storing a per pattern based fail status of each of the detected failed patterns.

Abstract: For providing computing resources to a user a liaison service initializes communication for first and second computing resources for the user. The liaison services communicate between the user and the computing resources. The communicating authenticates respective requests by the user for the respective first and second computing resources. Initializing the first and second computing resource services for the user by the liaison service includes providing, to the user via the liaison service, respective first and second account identifiers for the respective first and second computing resource services and includes storing in association with the first and second account identifiers, by the liaison service in a user password vault, respective first and second computing resource key identifiers.

Abstract: Systems, methods, and computer-readable media are disclosed for associating and reconciling disparate key-value pairs corresponding to a target entity across multiple organizational entities using a distributed match. A shared output mapping may be generated that associates and reconciles common and/or conceptually aligned key-value pairs across the multiple organizational entities. The shared output mapping allows any given organizational entity to leverage information known to other organizational entities about a target entity. In this manner, the organizational entities participate in an information sharing ecosystem that enables each organizational entity to provide a user with a more optimally customized user experience based on the greater breadth of information available through the shared output mapping.

Abstract: At least one detail for at least one product in a group of products is received. At least one input for at least one customer in a group of customers is received. At least one detail for at least one product and at least one input for at least one customer is stored to a database repository. Product traits for at least one product are generated and stored to a database repository. Customer traits for at least one customer are generated and stored to a database repository. The generation of customer traits is independent from the generation of product traits. At least one recommendation for matching at least one product to at least one customer is generated. The at least one recommendation is based on the generated traits of the at least one product and the generated traits of the at least one customer.

Abstract: An example operation may include one or more of signing a blockchain transaction by an endorsement peer member of a blockchain, transmitting the blockchain transaction to an ordering service, identifying a blockchain transaction queue length, and receiving a signed promise from the ordering service that the blockchain transaction will be included in an identified block number based on the blockchain transaction queue length.