Abstract: Embodiments relate to a system, program product, and method for optimizing the throughput of an archival application through storage volume and file selection and assignment of a finite number of storage controller data movement threads associated with a plurality of storage controllers. Data directed to be transferred from one or more storage controllers to non-cloud-based storage is transferred through standard I/O features. Data directed to be transferred from the storage controllers to cloud object storage devices is managed through an archival application that manages the finite number of storage controller data movement threads to provide efficient and effective transfer of the data.

Abstract: An ovonic threshold switch comprises a thin film composed essentially of Si, Ge, Se, As, and an amount of a chalcogen that is effective to passivate oxidation of the composition in the presence of water vapor, wherein the chalcogen is selected from the list consisting of: Te and S. In one or more embodiments, the chalcogen is S. In one or more embodiments, the chalcogen is Te. In one or more embodiments, the effective amount of the chalcogen is greater than 1% by atomic percent. In one or more embodiments, the effective amount of the chalcogen is less than 10% by atomic percent. In one or more embodiments, the composition of matter comprises 10% Si, 15% Ge, 40% Se, 30% As, and 5% chalcogen by atomic percent.

Abstract: Artificial neural networks (ANNs) are a distributed computing model in which computation is accomplished with many simple processing units, called neurons, with data embodied by the connections between neurons, called synapses and by the strength of these connections, the synaptic weights. An attractive implementation of ANNs uses the conductance of non-volatile memory (NVM) elements to record the synaptic weight, with the important multiply—accumulate step performed in place, at the data. In this application, the non-idealities in the response of the NVM such as nonlinearity, saturation, stochasticity and asymmetry in response to programming pulses lead to reduced network performance compared to an ideal network implementation. A method is shown that improves performance by distributing the synaptic weight across multiple conductances of varying significance, implementing carry operations between less-significant signed analog conductance-pairs to more-significant analog conductance-pairs.

Abstract: Fluid motion is simulated by performing a first fluid simulation without reflecting all of a plurality of forces acting on a fluid, to obtain a first velocity of the fluid at a current time step; estimating a velocity residue at the current time step by inputting a calculated velocity from the previous time step into a regression model. The regression model is trained to relate velocity obtained by performing a second fluid simulation reflecting the plurality of forces acting on the fluid to a difference between the velocity obtained by performing the first fluid simulation and the velocity obtained by performing the second fluid simulation; and calculating a velocity of the fluid at the current time step by adding the first velocity at the current time step and the velocity residue at the current time step.

Abstract: Concepts for remote storage of data are presented. Once such concept is a system comprising: a primary storage controller; and a secondary storage controller of a remote data storage system. The primary storage controller is configured to determine a service characteristic of data storage to or data retrieval from the remote data storage system and to communicate service performance signals to the secondary storage controller based on the determined service characteristic. The secondary storage controller is configured to receive service performance signals from the primary storage controller, to compare the received service performance signals with a service requirement so as to determine a service comparison result, and to control data storage to or data retrieval from the remote data storage system based on the service comparison result.

Abstract: A simultaneous multithreading processor and related method of operating are disclosed. The method comprises dispatching portions of a first instruction to be executed by a respective plurality of execution units of the processor; receiving, at an instruction completion table of the processor, respective finish reports responsive to execution of the portions of the first instruction; determining, using the received finish reports, that all of the portions of the first instruction have been executed; and updating the instruction completion table to indicate that the first instruction is ready for completion.

Abstract: The invention provides a system and method for virtual world biometric analytics through the use of a multimodal biometric analytic wallet. The system includes a virtual biometric wallet comprising a pervasive repository for storing biometric data, the pervasive repository including at least one of a biometric layer, a genomic layer, a health layer, a privacy layer, and a processing layer. The virtual biometric wallet further comprises an analytic environment configured to combine the biometric data from at least one of the biometric layer, the genomic layer, the health layer, the privacy layer, and the processing layer. The virtual biometric wallet also comprises a biometric analytic interface configured to communicate the biometric data to one or more devices within a virtual universe.

Abstract: A system and method for supporting data MapReduce operations in a tuple space/coordinated namespace (CNS) extended memory storage architecture. The system-wide CNS provides an efficient means for storing and communicating data generated by local processes running at the nodes, and coordinated to provide MapReduce operations in a multi-nodal system. A hardware accelerated mechanism supports map reduce sorting/shuffle operations and reduce operations according to an aggregate function. Local processes running at a node generate a tuple corresponding to data generated by a process, each tuple having a tuple name and tuple data value corresponding to the generated data. Each tuple is processed and stored at the node or another node, dependent upon its tuple name. Tuple records associated with a tuple name are accumulated at one or more nodes according to a linked list structure at each that is accessible via a hash table index pointer at the node.

Abstract: A method of forming a custom module lid. The method may include placing a multichip module (MCM) between a module base and a temporary lid, target components are exposed through viewing windows in the temporary lid, a top surface of the target components is measured and mapped to create a target profile, the target profile is used to form custom pockets in a custom lid, and the custom pockets correspond to the target components.

Abstract: A radio frequency radiation shield device may comprise a receiver for detecting a near field radio frequency signal at target frequencies. The shield device may further comprise a signal processor that samples signal characteristics of a detected signal and determines a nullifying signal in response to detecting a signal characteristic of the detected signal meeting a trigger threshold. The nullifying signal may comprise a modulated version of the detected signal. The shield device may further comprise a signaler for generating the nullifying signal. The shield device may further comprise a transmitter for transmitting the nullifying signal at target signals.

Abstract: A method, computer system, and computer program product for generating a multi-document summary is provided. The embodiment may include receiving a query statement, one or more documents, one or more summary constraints, and quality goals. The embodiment may include identifying one or more keywords within the query statement. The embodiment may include performing a sentence selection from the one or more documents based on the one or more identified keywords. The embodiment may include generating a plurality of candidate summaries of the one or more documents based on the performed sentence selection, the goals, and a cross entropy method. The embodiment may include calculating a quality score for each of the plurality of generated candidate summaries using a plurality of quality features. The embodiment may include selecting a candidate summary from the plurality of generated candidate summaries with the highest calculated quality score that also satisfies a quality score threshold.

Abstract: Aspects of the present invention disclose a method for delivering an artificial intelligence-based response to a voice command to a user. The method includes one or more processors identifying an audio command received by a computing device. The method further includes determining a first engagement level of a user, wherein an engagement level corresponds to an attentiveness level of the user in relation to the computing device based at least in part on indications of activities of the user. The method further includes identifying a first set of conditions within an immediate operating environment of the computing device, wherein the first set of conditions indicate whether to deliver a voice response to the identified audio command. The method further includes determining whether to deliver the voice response to the identified audio command to the user based at least in part on the first engagement level and first set of conditions.

Abstract: An apparatus is provided. The apparatus may comprise a layer of a microfluidic chip. The layer may comprise a nanoscale deterministic lateral displacement (nanoDLD) array. The nanoDLD array may comprise a plurality of pillars arranged in a plurality of columns. Further, the nanoDLD array may separate particles from a purified fluidic sample associated with a bodily materials of an organism. A method for purifying at least one target particle from a sample by utilizing a sized-based separation is provided. The method may include detecting the at least one target particle associated with the sample, by utilizing at least one detector molecule in a nanoDLD array. The method may then include separating the detected at least one target particle and the at least one detector molecule from a bump fraction in the sample based on a size of the detected at least one target particle.

Abstract: A Vertical Function Field Effect Transistor (VIFET) is disclosed with reduced noise and input capacitance and high input impedance. The VIFET has a substrate; a source disposed on the substrate; a drain, and a channel. The vertical channel has one or more channel sidewall surfaces. The channel sidewall surfaces have a total or aggregate channel sidewall surface area. A semiconductor gate grown on one or more of the channel sidewall surfaces has a thickness below 10 nanometers (nm), or between 3 am and 10 om, that reduces transistor noise. The interface surface area between the conductive (e.g. metal) external electrical gate contact and the contacted surface of the semiconductor gate is minimized to further reduce transistor noise.

Abstract: Quasi-identifiers (QIDs) are detected in a dataset using a set of computing tasks. The dataset has a plurality of records and a set of attributes. An index is generated for the dataset. The index has an indicator for each attribute value of each record in the dataset. Each indicator specifies all the records in the dataset having the same value for the attribute. Each task is assigned an attribute combination and a subset of the plurality of records in the dataset and is passed to a thread for execution on computing resources. The executing task inspects the set of records specified by the index indicator for each attribute value in the attribute combination to produce a result. The result of at least one task identifies a unique record for the associated attribute combination. The attribute combination producing the unique record is a QID.

Abstract: A computer-implemented method according to one embodiment includes receiving a search query; determining a first set of categories associated with the search query, including performing a reverse lookup for the search query using a dynamic inference map in order to determine the first set of categories, where each category of the first set of categories includes one or more words that describe one or more aspects of the search query; determining a second set of categories associated with preliminary results of the search query; and filtering the preliminary results of the search query, including removing a subset of the preliminary results of the search query based on a comparison of the first set of categories to the second set of categories.

Abstract: Automated keyphrase extraction from a digital text document. A pool of candidate keyphrases of the digital text document is created. A cross-entropy method is then employed to compute a set of output keyphrases out of the pool of candidate keyphrases, by iteratively optimizing an objective function that is configured to cause the set of output keyphrases to be descriptive of one or more main topics discussed in the digital text document. The set of output keyphrases may be used for at least one of: text summarization, text categorization, opinion mining, and document indexing.

Abstract: A method, system, and computer program product for implementing automated software application bundling is provided. The method includes detecting first software scanners installed within computing devices associated with a hardware device. Licensed software applications and second software scanners installed within a group of computing devices are detected and configuration files associated with initiating execution of the licensed software applications are retrieved from a database. Operational data is retrieved and an associated list describing operational attributes of the computing devices is generated. Likewise, a list of licensed software applications installed within the group of computing devices and a graph presenting communication connections between the computing devices and the hardware device are generated and the licensed software applications are executed with respect to enabling operational functionality for the group of computing devices.

Abstract: An instruction to convert data from a source data type to a target data type is obtained. The source data type is selected from one or more source data types supported by the instruction, and the target data type is selected from one or more target data types supported by the instruction. Based on a selected data type of the source data type or the target data type, a determination is made of a rounding mode for use by the instruction. The rounding mode is implicitly set based on the selected data type; it is assigned to the selected data type. A conversion of the data from the source data type to the target data type is performed. The conversion includes performing a rounding operation using the rounding mode implicitly set. The performing the conversion provides a result in the target data type, which is written to a select location.

Abstract: Contactless payment data can be received from a mobile device via a contactless payment terminal. Responsive to receiving the contactless payment data from the mobile device, a token can be communicated to the mobile device via the contactless payment terminal, the token configured to be processed by the mobile device to initiate a particular communication functionality by the mobile device.

Abstract: A schedule for performing physical activities is generated by a physical activity model. The model draws from activity data, environmental data, and physical data collected during performance of identified physical activities. Weather forecasts for a particular region and time range drive the model to produce the performance schedule during the time range.

Abstract: Method and system are provided for security credentials management for client applications. The method includes: detecting a user is entering security credentials for authentication of a client application; hashing at least a portion of the entered credentials to obtain current hashed credentials and storing the current hashed credentials; and comparing the current hashed credentials to previously stored hashed credentials for the client application. If the current hashed credentials and the previously stored hashed credentials match, the method may store the credentials for automatic completion of the credentials for the client application.

Abstract: In an approach for managing physical processor usage of a shared memory buffer, a processor receives a request for memory. A processor receives a request for memory from a process running on a physical processor. A processor determines whether the request for memory is less than or equal to a pre-determined threshold, wherein the pre-determined threshold is based on characteristics of a server on which the physical processor resides, needs of the server, and a frequency of requests of each memory size. Responsive to determining the request for memory is greater than the pre-determined threshold, a processor identifies a node on which the physical processor resides. A processor identifies a memory buffer of a set of memory buffers allocated to the node on which the physical processor resides. A processor allocates the memory buffer.

Abstract: Neural inference chips for computing neural activations are provided. In various embodiments, the neural inference chip is adapted to: receive an input activation tensor comprising a plurality of input activations; receive a weight tensor comprising a plurality of weights; Booth recode each of the plurality of weights into a plurality of Booth-coded weights, each Booth coded value having an order; multiply the input activation tensor by the Booth coded weights, yielding a plurality of results for each input activation, each of the plurality of results corresponding to the orders of the Booth-coded weights; for each order of the Booth-coded weights, sum the corresponding results, yielding a plurality of partial sums, one for each order; and compute a neural activation from a sum of the plurality of partial sums.

Abstract: Methods and systems for cyber-hacking detection are provided. One method includes generating, by a processor, one or more artificial accounts for a type of actual account, learning one or more hacking behaviors for the type of actual account, and detecting cyber-hacks in activity in the one or more artificial accounts based on the one or more hacking behaviors. Systems and computer program products for performing the above method are also provided.

Abstract: A method and system for extracting information from a drawing. The method includes classifying nodes in the drawing, extracting attributes from the nodes, determining whether there are errors in the node attributes, and removing the nodes from the drawing. The method also includes identifying edges in the drawing, extracting attributes from the edges, and determining whether there are errors in the edge attributes. The system includes at least one processing component, at least one memory component, an identification component, an extraction component, and a correction component. The identification component is configured to classify nodes in the drawing, remove the nodes from the drawing, and identify edges in the drawing. The extraction component is configured to extract attributes from the nodes and edges. The correction component is configured to determine whether there are errors in the extracted attributes.

Abstract: A semiconductor device structure comprises at least one semiconductor fin for a vertical transport field effect transistor, a bottom source/drain layer, and an insulating layer underlying the bottom source/drain layer. A method of forming the structure comprises forming a sacrificial layer within a lower portion of a source/drain region for a vertical transport field effect transistor structure. The sacrificial layer being formed adjacent to at least one semiconductor fin and in contact with a substrate. A source/drain layer is formed within an upper portion of the source/drain region above the sacrificial layer. The sacrificial layer is removed thereby forming a cavity between the substrate and the source/drain layer. An insulating layer is formed within the cavity.

Abstract: An example operation may include one or more of authenticating, by a first service node, to a first client node, receiving, by the first service node, a data access request from the first client node, comprising request parameters and a request token, generating, by the first service node, a receipt key corresponding to the data access request, and sharing data with a second client node based on the request token and the receipt key.

Abstract: In an approach for an indoor survey data collection, a processor generates reference points based on a site map and an accuracy requirement. A processor collects data at each reference point through a data collecting agent. A processor detects an outlier at the reference points using a feedback from the data collecting agent during the data collection and a database. A processor eliminates the detected outlier and rectifies the data.

Abstract: A spiking neural network device including a spiking neural network circuit including a crossbar array of plural synapses; plural axons connected with the spiking neural network circuit, the plural axons receiving input of a spike signal; and plural Poisson spike generators respectively provided for the plural axons. Each Poisson spike generator can be set whether or not to emit the spike signal based on an input signal to be processed, and each Poisson spike generator can, be set to emit the spike signal being configured to generate a Poisson spike train different from each other. and supply the Poisson spike train to a corresponding one of the plural axons.

Abstract: A method includes generating, using a processor, a graph including a plurality of nodes and a plurality of paths between the nodes, the graph representing a system comprising an arrangement of elements, and a data structure in which, for each node pair of the plurality of nodes, a count of the number of paths of length S between the node pair is stored in association with the length S. The method includes modifying the graph, using the processor, to obtain a modification of the graph related to the count of the number of paths of length S, and estimating, based on the data structure and the modification, an objective function that is quantitatively representative of the connections between the nodes and being indicative of performance of the system.

Abstract: An interrupt signal is provided to a first guest operating system. A bus attachment device receives an interrupt signal from a bus connected module with an interrupt target ID identifying a processor assigned for use by the guest operating system as a target processor for handling the interrupt signal. The bus attachment device translates the received interrupt target ID to a logical processor ID of the target processor using an interrupt table entry stored in a memory section assigned to a second guest operating system hosting the first operating system and forwards the interrupt signal to the target processor for handling. The logical processor ID of the target processor is used to address the target processor directly.

Abstract: An example operation may include one or more of determining data at a first node satisfies a condition, obtaining a pointer to a shared storage area for the data, controlling generation of a block including the pointer, and appending the block to a blockchain without the data, wherein the first node corresponds to first virtual node hosted by blockchain-as-a-service (Baas) provider and wherein the first virtual node receives the data from a network coupled to the Baas provider.

Abstract: A computer-implemented method, according to one embodiment, includes initiating, by a computer, a connection with a storage controller. A determination is made, by the computer, if a number of compressed volumes on a target side present in a storage system comprising the storage controller. In response to determining at least one compressed volume, a number of queues are dedicated based on the number of compressed volumes. The number of dedicated queues are sent to the storage controller. Moreover, the number of dedicated queues are created. Compressed input/outputs (I/Os) are sent through at least one of the dedicated queues to at least one of the at least one compressed volume via the storage controller.

Abstract: Embodiments are directed to a method of forming a semiconductor chip package and resulting structures having a mixed under-bump metallization (UBM) size and pitch on a single die. A first set of UBMs having a first total plateable surface area is formed on a first region of a die. A second set of UBMs having an equal total plateable surface area is formed on a second region of the die. A solder bump having a calculated solder height is applied to a plateable surface of each UBM. The solder height is calculated such that a volume of solder in the first region is equal to a volume of solder in the second region.

Abstract: A mechanism is provided for dispersed location-based data storage. A request is received to write a data file to a referrer memory region in a set of memory regions. For each data chunk of the data file, responsive to a comparison of a hash value for the data chunk to other hash values for other stored data chunks referenced in the referrer memory region indicating that the data chunk fails to exist in the referrer memory region, responsive to the data chunk existing in another memory region in the set of memory regions, responsive to the memory region failing to be one of the predetermined number N of owner memory regions associated with the referrer memory region, and responsive to the predetermined number N of owner memory regions failing to have been met, a reference to the data chunk is stored in the referrer memory region.

Abstract: An approach is provided for optimizing a digital display. Classifications of advertisements are determined. A location of a future action in an event is predicted. A sentiment of an audience is determined. The audience includes spectators at the venue, viewers who are viewing the event via devices receiving a live broadcast of the event, or a combination of the spectators and the viewers. Based on the location of the future action, a digital display is selected from digital displays in the venue and content on the digital display is predicted to be captured as an image by a camera and broadcast to devices of the viewers. Based on the classifications, the sentiment, the location of the future action, and the content being predicted to be captured and broadcast, an advertisement is selected. The selected advertisement is sent to the selected digital display.

Abstract: Embodiments of the present invention disclose a method, computer program product, and computer system for traffic control. A computer determines an uncommitted demand and receives a supply pattern from an adjacent downstream node. The computer aggregates the supply pattern with its own supply pattern before propagating the supply pattern to an adjacent upstream node. Moreover, the computer receives a committed demand and demand weight pattern from an upstream node and aggregates the committed demand and demand weight patterns with its own before propagating the aggregated committed demand and demand weight patterns to an adjacent downstream node. The computer further allocates a remaining downstream supply to the uncommitted demand based on weight and detects pending slot position conflicts. Based on detecting a pending slot position conflict, the computer configures a pattern shift and commits the available downstream supply as upstream committed demand.

Abstract: According to an embodiment of the present invention, a structure for a strain gauge device is provided. The structure comprises a layer of strain gauge material and one or more contact pads positioned directly on the layer of strain gauge material. The structure further comprises a multiplexer, measuring device, amplifier, analog to digital converter, microcontroller, and wireless adapter. According to the structure, the multiplexer selects a given contact pad pair of the one or more contact pad pairs, the measuring device measures signal generated by the layer of strain gauge material between the given contact pad pair, the amplifier amplifies the measured signal, the analog to digital converter converts the amplified analog signal to a digital signal, the microcontroller processes the digital signal, and the wireless adapter transmits the processed digital signal. In addition, the structure may further comprise a battery to provide energy to the structure.

Abstract: A method and an apparatus for generating a road network are disclosed. The method for generating a road network comprises: aggregating a plurality of grid cells partitioned in advance on a trajectory map based on trajectories in each grid cell of the plurality of grid cells to form level-1 regions; and generating a link of the road network by merging a level-1 region having two valid neighbors with its neighbor level-1 regions having two valid neighbors.

Abstract: A computer-implemented method includes analyzing a first dataset to extract metadata that corresponds to a first visualization; analyzing a second dataset to extract metadata; comparing the metadata of the datasets; deriving based on the comparing, a level of correlation between attributes of the datasets; establishing a score for each of the levels of correlation; determining that a first attribute of the first dataset and a first attribute of the second dataset are a match in response to the establishing of a score for the level of correlation of the first attributes of the datasets; determining that the datasets are related in response to the determining that the first attributes of the datasets are a match; and directing the displaying of a second visualization, the second visualization being a visual representation that includes data from the second dataset.

Abstract: According to embodiments of the present invention, methods, systems and computer readable media are provided, in a cognitive data processing system, for implementing a predictive analytics system that utilizes entity and non-entity information. A collection of content is processed to extract defined entities pertaining to one or more domains. Semantic relationships are determined between objects within the collection of content, wherein the objects include undefined entities. The defined entities and objects are resolved based on entity definitions and the semantic relationships to determine defined entities and undefined entities for a resulting data set. The resulting data set is processed to identify one or more relationships between a defined entity and an undefined entity.

Abstract: Aspects of the present disclosure describe techniques for detecting anomalous data in an encrypted data set. An example method generally includes receiving a data set of encrypted data points. A tree data structure having a number of levels is generated for the data set. Each level of the tree data structure generally corresponds to a feature of the encrypted plurality of features, and each node in the tree data structure at a given level represents a probability distribution of a likelihood that each data point is less than or greater than a split value determined for a given feature. An encrypted data point is received for analysis, and anomaly score is calculated based on a probability identified for each of the plurality of encrypted features. Based on determining that the calculated anomaly score exceeds a threshold value, the encrypted data point is identified as potentially anomalous.

Abstract: A machine learning system for dynamically segmenting inventory includes a memory having instructions therein, and at least one processor configured to execute the instructions to, using a reinforcement learning agent (“RLA”): determine, based at least in part on first inventory data corresponding to at least a portion of a first prediction time window for the RLA, a second prediction time window for the RLA; segment a first supply of inventory, based at least in part on the second prediction time window and at least a portion of the first inventory data; determine, based at least in part on second inventory data corresponding to at least a portion of the second prediction time window, a third prediction time window for the RLA; and segment a second supply of inventory, based at least in part on the third prediction time window and at least a portion of the second inventory data.

Abstract: Embodiments of the present disclosure provide techniques to vary on and vary off databases simultaneously across a pair of nodes in a mirroring environment. A dual vary off operation is initiated at a first node of the pair of nodes, the dual vary off operation to be performed on copies of a database respectively stored on the pair of nodes, the operation to be performed in tandem with the second node. At the first node the copy of the database stored on the first node is informed of the dual vary off operation, and an operating system of the first node is also informed of the dual vary off operation. Upon receipt at the first node of an indication from the second node that it has completed its vary off operation, the first node completes the dual vary off operation. An analogous technique is performed for a dual vary on operation.

Abstract: A method and system are provided for adaptive evaluation of meta-relationships in semantic graphs. The method includes providing a semantic graph based on a knowledge base in which concepts in the form of graph nodes are linked by semantic relationships in the form of graph edges. Metadata are encoded in the edges and nodes of the semantic graph, of weightings for measuring a meta-relationship, wherein the meta-relationship applies to the concepts of the semantic graph and is independent of the semantic relationship defined by the edges of the semantic graph. A graph activation is carried out for an input context relating to one or more concepts of the semantic graph, wherein the weightings are applied to a spreading activation signal through the semantic graph to produce a measure of the meta-relationship for a sub-set of concepts of the semantic graph.

Abstract: A computer-implemented method that can prevent an upload of a data set upon detection of a modification of the data set. The method includes storing a first portion of a file in a buffer while being in a receiving mode. Upon determining that applying one of a predefined transformation performed to the first portion of an existing data set will result in reproducing a content of the buffer: generating a transformation notification signal; and upon receiving a stop message, stopping the receiving mode which results in using the existing file on the server.

Abstract: Embodiments may include techniques for hierarchical evaluation of the anomaly level of a system and its sub-components using domain knowledge, so as to provide improved accuracy and explainability compared to conventional methods. For example a method of anomaly detection in a hierarchical computer network may comprise defining a tree-like topological structure which describes how the hierarchical computer network comprises sub-components, wherein each node of the tree-like topological structure represents a sub-component of the hierarchical computer network, and wherein at least some of the sub-components are monitored to generate signals indicating an operational condition of each sub-component, collecting a plurality of time-series of maximum absolute anomaly scores for each monitored signal, and computing an anomaly score for a root node of the tree-like topological structure.

Abstract: One or more application forms can be hosted, which application forms are received from a service provider, the service provider having been authenticated by at least one data custodian of a set of data custodians. One or more application forms include at least form fields to be populated with information. A user selection of an application form to be automatically populated can be received, the user having been authenticated by at least one data custodian of the set of data custodians. Data request is sent to at least one data custodian of the set of data custodians for automatically populating at least some of the form fields. Received data from said at least one data custodian can be collated and used to populate one or more form fields. The populated form fields can be returned to the service provider, for instance, provided a minimum requirement is met.

Abstract: A method, computer system, and a computer program product for assessing anonymity of a dataset is provided. The present invention may include receiving an original dataset and an anonymized dataset. The present invention may also include preparing a testing dataset and a training dataset for a machine learning algorithm based on the received original dataset and anonymized dataset. The present invention may then include training a machine learning model based on the prepared training dataset. The present invention may further include generating an evaluation score based on the trained machine learning model and the prepared testing dataset. The present invention may also include presenting the generated evaluation score to a user.