Abstract: A person's drawing capability is used as an authentication credential. During a training phase, a user is asked to hand draw various reference shapes such as a rectangle, flower, etc. These user drawings for a given shape are input to a training discriminator (with an “authentic” label) along with drawings automatically generated from a latent sample (with a “not authentic” label), and the training discriminator computes positive discrimination vectors for this shape that are unique to this user. Thereafter, when the user wants access to a resource (such as an online account, a mobile computing device, or an electronic document), the user is presented with a drawing challenge for one of the reference shapes, and they draw a corresponding challenge image. An image vector for the challenge image is generated, and if the image vector falls within the positive discrimination vectors, access to the resource is granted.

Abstract: Systems, methods, and computer program products for selectively customizing, modifying and changing performance parameters, capabilities and behaviors of AI devices within AI device networks by sharing user-selected portions of a knowledge corpus with other AI device networks. Selectively sharing parameters, learned behaviors, capabilities, and features of the knowledge corpus allows for AI devices within a second AI device network to mimic, clone or recreate the performance or behaviors of AI devices operating within the environment of a first AI device network. Users can create portable nodes that travel with the user and upon connecting with the second device network, identify AI devices that can be modified using the portions of the knowledge corpus to recreate selected portions of the first AI device network within the environment of the second AI device network either permanently or for a user-selected amount of time.

Abstract: Embodiments disclosed herein include a semiconductor structure. The semiconductor structure may include a semiconductor structure. The semiconductor structure may include an embedded magnetic random access memory (MRAM) array electrically connected between a bottom metal level and a top metal level. The MRAM array may include a first tier with first MRAM cells and first vias above the first MRAM cells, and a second tier with second MRAM cells and second vias below the second MRAM cells.

Abstract: Early exit of a loop is performed. A determination is made as to whether a loop within computer code reaches a fixed point of processing, which is predefined. Based on determining that the loop reaches the fixed point of processing, at least one indication is included in the loop to perform an early exit of the loop prior to a last iteration of the loop.

Abstract: A method can include obtaining contact data corresponding to a set of contacts of an authorization card. The contact data can indicate a set of engaged contacts among the set of contacts. The method can include obtaining activation data corresponding to a set of predetermined engaged contacts among the set of contacts. The method can include determining, by comparing the contact data to the activation data, that the set of engaged contacts matches the set of predetermined engaged contacts. The method can include changing, in response to the determining, a state of the authorization card from an inactive state to an active state. The method can include permitting, in response to the changing the state, an electronic transfer of authorization data from the authorization card.

Abstract: A computer-implemented method and a computer system for improving cached workload management. A host, which is in a system comprising the host and a storage system, obtains information about classes of applications accessing the storage system. The host determines input/output queues dedicated to respective ones of the classes. The storage system creates, in the storage system, cache partitions dedicated to the respective ones of the classes, based on information about classes. The host creates the input/output queues and sets bit flags for respective ones of the input/output queues. The host pumps inputs/outputs coming from the respective ones of the classes to the respective ones of the input/output queues. The storage system directs the input/output queues to respective ones of the cache partitions.

Abstract: A computer-implemented method for unoptimized tape drive read detection is disclosed. The computer-implemented includes determining whether a read order of a trio of related files is consistent with an order in which the trio of related files are stored on a magnetic tape media. The computer-implemented method further includes generating an unoptimized tape drive read warning in response to determining that the read order of the trio of related files is inconsistent with the order in which the trio of related files are stored on the magnetic tape media.

Abstract: Neural network classification may be performed by inputting a training data set into each of a plurality of first neural networks, the training data set including a plurality of samples, obtaining a plurality of output value sets from the plurality of first neural networks, each output value set including a plurality of output values corresponding to one of the plurality of samples, each output value being output from a corresponding first neural network in response to the inputting of one of the samples of the training data set, inputting the plurality of output value sets into a second neural network, and training the second neural network to output an expected result corresponding to each sample in response to the inputting of a corresponding output value set.

Abstract: The present disclosure provides for crop yield estimation by identifying, via image processing, a field in which a crop is grown; identifying a plurality of regions within the field; identifying, by processing growth metrics via a model, a plurality of data collection points in the plurality of regions, wherein a given data collection point of the plurality of data collection points within a given region of the plurality of regions is identified by multivariate analysis as representative of growing conditions in the given region; receiving in-field data linked to the data collection points of the plurality; and predicting a yield for the crop in the field based on the in-field data.

Abstract: A computer hardware system includes a hardware processor configured to perform the following executable operations. A plurality of application programming interfaces (APIs) available to an organization are discovered. A cognitive classification is performed on the plurality of APIs to generate, for each of the plurality of APIs, an individual API data structure including API attribute information. A request for a particular API having a particular requirement is received via a configuration assistant and from a user. Candidate APIs are identified by generating an API interchangeability index using the individual API data structures and the particular requirement. Auto-rationalization is performed on the candidates APIs to identify a subset of the candidate APIs. The subset of the candidate APIs is presented to the user via the configuration assistant. A selected API is received from the user via the configuration assistant.

Abstract: Devices, systems, and/or methods that can facilitate local heating of a superconducting flux biasing loop are provided. According to an embodiment, a method can comprise forming on a substrate a biasing loop and a flux controlled qubit device of a superconducting flux bias circuit. The method can further comprise forming a heating device on the substrate to couple the heating device to the biasing loop.

Abstract: Embodiments of the present invention provide a computer system a computer program product, and a method that comprises identifying multiple contextual factors within a navigational data based on navigational data containing a plurality of indicative markers, wherein the multiple contextual factors have an impact on a size of the navigational data associated with a navigational path; classifying the identified multiple contextual factors according to a contextual analysis of portions of the navigational path; and generating a microfluidic-based spiral representation of the navigational path for a user interface within a computing device based on a classification of the identified multiple contextual factors associated with the navigational data.

Abstract: Provided are a computer program product, system, and method for configuring and controlling an automated vehicle to perform user specified operations. User vehicle control programs are loaded in an unmanned vehicle to control the unmanned vehicle to perform a user specified operation. The loading the user vehicle control programs replaces base vehicle control programs in the unmanned vehicle. There is communication with the unmanned vehicle to execute the user vehicle control programs to control the unmanned vehicle to perform the user specified operation. The base vehicle control programs are loaded into the unmanned vehicle to replace the user vehicle control programs to return control of the unmanned vehicle to a vehicle provider after performing the user specified operation.

Abstract: Communications are managed and prioritized by a machine learning process in a vehicle with automated driver assistance. It is detected that the vehicle is currently being operated in manual mode by a human driver. It is detected that a telecommunication device located within the vehicle is receiving a communication. The communication is classified according to a priority. The communication is acted upon based on the priority classification. The driver state is assessed at the conclusion of the communication. The vehicle returns to the manual driving mode if the driver state is compatible with the manual driving mode.

Abstract: A method, computer system, and a computer program product is provided for computer log management. In one embodiment, in response to receiving a log request from a user, an input content is analyzed and adjusted according to input contents and user's previous activities. A similarity analysis and a fairness analysis is performed to determine similarities between the input content, as adjusted, and a plurality of log records in an object library. The similarity analysis includes analyzing any patterns and attributes. The attributes have a dimension, and each dimension has a predefined weight (W). The fairness analysis ensures that one type of log is not favored over others. A best possible match is then determined, and one or more logs are presented to the user providing the best possible match.

Abstract: A processor may receive an input dataset. The input dataset may include a plurality of construction components and one or more performance factors of the building/structure. A processor may generate a digital twin of the building/structure using the input dataset. A processor may simulate, using the digital twin, one or more features of the building/structure. The simulating may include a forecast having one or more predicted conditions associated with the building/structure.

Abstract: A clock comparator sign control is used in a compare operation. A clock comparator sign control that determines whether unsigned arithmetic or signed arithmetic is to be used in a comparing operation is obtained. The clock comparator sign control is then used in a comparison of a value of a clock comparator and at least a portion of a value of a time-of-day clock to determine whether a selected action is to be recognized.

Abstract: A method for performing sparse quantum Fourier transform computation includes defining a set of quantum circuits, each quantum circuit comprising a Hadamard gate and a single frequency rotation operator, said set of quantum circuits being equivalent to a quantum Fourier transform circuit. The method includes constructing a subset of said quantum circuits in a quantum processor, said quantum processor having a quantum representation of a classical distribution loaded into a quantum state of said quantum processor. The method includes executing said subset of said quantum circuits on said quantum state, and performing a measurement in a frequency basis to obtain a frequency distribution corresponding to said quantum state.

Abstract: A computer system, product, and method are provided. The computer system includes an artificial intelligence (AI) platform operatively coupled to a processor. The AI platform includes tools in the form of a machine learning model (MLM) manager, a metric manager, and a training manager. The MLM manager accesses a plurality of pre-trained source MLMs, and inputs a plurality of data objects of a test dataset into each of the source MLMs. The test dataset includes the plurality of data objects associated with respective labels. For each source MLM, associated labels are generated from the inputted data objects and a similarity metric is calculated. The MLM manager selects a base MLM to be used for transfer learning from the plurality of source MLMs based upon the calculated similarity metric. The training manager trains the selected base MLM with a target dataset for the target domain.

Abstract: Classification and visualization of user interactions with an interactive computing platform is provided by building and providing a graphical user interface (GUI) of graphical elements for display on a display device. The graphical elements present visualizations of user interactions between users and an interactive computing platform in progression of the users through tasks based on the user interactions. The graphical elements also present identified features of the user interactions relative to the tasks and progression of the users therethrough. The building and providing includes building and providing, for a task of the tasks, a task element with first features corresponding to subtasks of the task and second features providing relations between the first features.

Abstract: The present disclosure relates to a method for displaying a search result in a user interface comprising a sequence of K table rows, a sequence of first type columns (named regular columns) and a sequence of B second type columns (named braided columns), the search result comprising values of attributes. The method includes creating a structure that includes a sequence table rows and a sequence of regular columns and a sequence of braided columns. The method selects a row of the sequence of rows and a braided column of the braided columns for displaying the search result. In each regular column a regular cell that is included in the selected row may be defined. From a braided column a braided cell may be defined that includes in the selected row and subsequent B?1 rows. The attributes values are displayed in the defined regular and braided cells.

Abstract: Methods and apparatus are provided for memorizing data signals in a spiking neural network. For each data signal, such a method includes supplying metadata relating to the data signal to a machine learning model trained to generate an output signal, indicating a relevance class for a data signal, from input metadata for that data signal. The method includes iteratively supplying the data signal to a sub-assembly of neurons, interconnected via synaptic weights, of a spiking neural network and training the synaptic weights to memorize the data signal in the sub-assembly. The method further comprises assigning neurons of the network to the sub-assembly in dependence on the output signal of the model such that more relevant data signals are memorized by larger sub-assemblies. The data signal memorized by a sub-assembly can be subsequently recalled by activating neurons of that sub-assembly.

Abstract: Computer-implemented methods, computer program products, and computer systems for improving intent determination in a messaging dialog manager system. The computer-implemented method for improving intent determination in a messaging dialog manager system may include one or more processors configured for receiving first agent entry data corresponding to a first agent communicating in a messaging dialog interface, determining that the first agent entry data expects a response that is within a first response domain, determining that a first user entry entered in the messaging dialog interface is not within the first response domain. Further, the computer-implemented may include identifying a second agent configured with a second response domain that includes the first user entry and transmitting the first user entry to the second agent to facilitate a seamless transition of an established communicational flow between the first agent and a first user.

Abstract: Disambiguation of search keywords to expert systems is performed through the application of a semantic ranking function to determine a classification category with confidence for a given query. The semantic ranking function is executed through an application of a semantic distance distribution profile score through analysis of user problem statement (UPS) with nodes in the taxonomy in the same vector space to create a search that combines a user problem statement and a taxonomical node in the search engine index. The distribution profile score calculation is provenance influenced to derive geographic, cultural, and demographic provenance for a user problem statement.

Abstract: An ontology topic is selected and a pretrained predictive language model is primed to create a predictive primed model based on one or more ontological rules corresponding to the selected ontology topic. Using the predictive primed model, natural language text is generated based on the ontology topic and guidance of a prediction steering component. The predictive primed model is guided in selecting text that is predicted to be appropriate for the ontology topic and the generated natural language text. The generated natural language text is processed to generate extracted ontology rules and the extracted ontology rules are compared to one or more rules of an ontology rule database that correspond to the ontology topic. A check is performed to determine if a performance of the ontology extractor is acceptable.

Abstract: Systems, computer-implemented methods or computer program products to facilitate receiving results of a semantic structured query language (SQL) query and employing sparse hash-table based sketches to interpret a semantic structured query language (SQL) query result. A computing component stores a first space-efficient structure sketch in a compressed serialize form. The computing component can load a second space-efficient data structure sketch along with the first space-efficient data structure sketch and can compute one or more interpretability scores by extracting co-occurrence information from the first space-efficient data structure sketch. The second space-efficient data structure sketch can include a sketch for containment check.

Abstract: One or more computer processors detect a computing device within a proximity to a rollable device. The one or more computer processors determine a location and an orientation of the rollable device relative to the computing device. The one or more computer processors attach the rollable device to the computing device utilizing the set of biometric locks engaged programmatically such that at least one side of the rollable device is locked and hinged to the computing device. The one or more computer processors responsive to the rollable device attached to a side of the computing device, extend a display area of the computing device to the rollable device.

Abstract: Techniques for selective CD shrink for source and drain contact trench to optimize FET device performance are provided. In one aspect, a semiconductor FET device includes: at least one gate; source and drains on opposite sides of the at least one gate; recesses in the source and drains; and metal contacts disposed over the source and drains and in the recesses, wherein the metal contacts are in direct contact with a bottom and sidewalls of each of the recesses in both a first direction and a second direction, wherein the first direction is perpendicular to the at least one gate, and wherein the second direction is parallel to the at least one gate. A method of forming a semiconductor FET device is also provided.

Abstract: A semiconductor device with resistive memory includes a bottom electrode disposed on a base structure, the bottom electrode having a structure that tapers up from the base structure to a tip of the bottom electrode. The semiconductor device also includes sidewall spacers on the sides of the bottom electrode, an interlayer dielectric deposition (ILD) outside the sidewall spacers, and a top dielectric layer disposed over the bottom electrode, and the sidewall spacers. The semiconductor device further includes a top electrode deposited over the bottom electrode within the sidewall spacers. A filament formation region is formed at the tip of the bottom electrode.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can identify a network request as being deferrable and embed data of the deferrable network request within a header of a suitable carrier network request for sending to a remote server. Embodiments of the present invention can receive a carrier network request with embedded data of a deferrable network request within a header of the carrier network request. Embodiments of the present invention can then parse the embedded data from the header into a separate request message for actioning at the server.

Abstract: The invention is notably directed to a device for performing a matrix-vector multiplication of a matrix with a vector. The device comprises a memory crossbar array comprising a plurality of row lines, a plurality of column lines and a plurality of junctions arranged between the plurality of row lines and the plurality of column lines. Each junction comprises a programmable resistive element and an access element for accessing the programmable resistive element. The device further comprises a readout circuit configured to perform read operations by applying positive read voltages of one or more first amplitudes and negative read voltages of one or more second amplitudes corresponding to the one or more first amplitudes. The one or more first amplitudes and the corresponding one or more second amplitudes are different from each other, thereby correcting polarity dependent current asymmetricities.

Abstract: Embodiments herein describe FETs with channels that form wrap-around contacts (a female portion of a female/male connection) with metal contacts (a male portion of the female/male connection) in order to connect the channels to the drain and source regions. In one embodiment, a first conductive contact is formed underneath a dummy channel. In addition an encapsulation material wraps around the first conductive contact. The dummy channel and the encapsulation material can then be removed and replaced by the material of the channel which, as a result, include a female portion that wraps around the first conductive contact.

Abstract: A non-volatile memory device and a semiconductor structure including a vertical resistive memory cell and a fabrication method therefor. The semiconductor structure including a target metal contact; a horizontal dielectric layer; and at least one vertically oriented memory cell, each vertically oriented memory cell including a vertical memory resistive element having top and bottom electrical contacts, and including a vertically-oriented seam including conductive material and extending vertically from, and electrically connected to, the bottom electrical contact, the vertically-oriented seam and the bottom electrical contact entirely located in the horizontal dielectric layer; and one of the top and bottom electrical contacts being electrically connected to the target metal contact. The target electrical contact can be electrically connected to a memory cell selector device.

Abstract: Managing instant message delivery may include receiving, using a processor, an instant message, wherein the instant message is directed to a recipient, and responsive to receiving the instant message, determining, using the processor, a user profile for the recipient and an activity level of a client device of the recipient. The user profile may specify rules for delivering instant messages to the recipient from users. Responsive to receiving the instant message, a delivery policy for the instant message may be determined using the processor according to the user profile of the recipient and the activity level of the client device. The instant message may be sent to the client device of the recipient according to the delivery policy using the processor.

Abstract: A system, platform, computer program product, and/or method to analyze a computer-implemented video conference includes: a plurality of participant devices, and a central processing server. Each participant device is configured to form a video snippet for a time interval of the video conference having audio data and video data; generate a transformed video snippet by embedding extracted participant data and/or metadata into the video snippet; and send each transformed video snippet to the central processing server. The central processing server receives each transformed video snippet; performs analytics on each transformed video snippet; and transmits to at least one of the participant devices, results of the performed analytics. Participant devices can display one or more results of the performed analytics.

Abstract: A solution is proposed for reviewing a control of access in an information technology system. A corresponding method comprises retrieving an indication of granted accesses to objects, being granted to subjects according to policies based on attributes. Virtual roles (each defined by one or more of the attributes) are determined according to a correlation among access types of the granted accesses and the attributes of the subjects being granted them. A computer program and a computer program product for performing the method are also proposed. Moreover, a system for implementing the method is proposed.

Abstract: A semiconductor device including a magnetic tunnel junction stack, a metallic hard mask aligned above the magnetic tunnel junction stack and an air gap surrounding the metallic hard mask. A method including forming a magnetic tunnel junction stack, forming a metallic hard mask aligned above the magnetic tunnel junction stack, conformally forming a dielectric over the metallic hard mask and the magnetic tunnel junction stack, forming barrier on vertical side surfaces of the dielectric, and removing the dielectric between the metallic hard mask and the barrier. A method including forming a magnetic tunnel junction stack, forming a metallic hard mask aligned above the magnetic tunnel junction stack, conformally forming a dielectric over the metallic hard mask and the magnetic tunnel junction stack, selectively removing a portion of the dielectric surrounding the metallic hard mark.

Abstract: A deep-learning based method evaluates similarities of entities in decentralized identity graphs. One or more processors represent a first identity profile as a first identity graph and a second identity profile as a second identity graph. The processor(s) compare the first identity graph to the second identity graph, which are decentralized identity graphs from different identity networks, in order to determine a similarity score between the first identity profile and the second identity profile. The processor(s) then implement a security action based on the similarity score.

Abstract: A mechanism is provided to implement an action-object interaction detection mechanism for recognizing actions in cluttered video scenes. An object bounding box is computed around an object of interest identified in a corresponding label in an initial frame where the object of interest appears in the frame. The object bounding box is propagated from the initial frame to a subsequent frame. For the initial frame and the subsequent frame: the object bounding boxes of the initial frame and the subsequent frame are refined and cropped based on the associated refined object bounding boxes. The set of cropped frames are processed to determine a probability that an action that is to be verified from the corresponding label is being performed. Responsive to determining the probability is equal to or exceeds a verification threshold, a confirmation is provided that the action-object interaction video performs the action that is to be verified.

Abstract: A computer-implemented method according to one aspect includes creating an initialization vector, utilizing an instance of plaintext and a secret key; encrypting the instance of plaintext, utilizing the initialization vector, the secret key, and the instance of plaintext; combining the initialization vector and the encrypted instance of plaintext to create a ciphertext string; and outputting the ciphertext string.

Abstract: An embodiment for automatically controlling peripheral devices based on online meeting participant information. The embodiment may detect participants of an online meeting and generate a participant information table. The embodiment may generate a participant group table including one or more preliminary participant groups based on the participant information. The embodiment may generate and send audio through peripheral devices associated with at least one participant in each of the one or more preliminary participant groups to identify the participants in physically shared meeting spaces. The embodiment may update the participant group table to include confirmed participant groups based on the identified participants in the physically shared meeting spaces. The embodiment may determine a presenter for each of the confirmed participant groups and update the participant information.

Abstract: A computer-implemented method, system and computer program product for maximizing system scalability while guaranteeing enforcement of service level objectives. A request is received to access a backend database in a hierarchy of backend databases that includes heterogenous computing resources with a dynamic range of performance. Upon receiving the request, a reinforcement learning based filter determines if the request's frequency of access exceeds a cutoff frequency. If the received request is not filtered, but instead, is passed through the filter, then one of the backend databases in the hierarchy is selected. Such a selection is made by a load balancer that is trained using reinforcement learning to select the optimal backend database taking into consideration the storage size and speed of the backend databases as well as taking into consideration the user-specified service level objective to be met by the request to guarantee enforcement of such a service level objective.

Abstract: A system, program product, and method for validating a system under test (SUT). The method includes generating one or more application programming interface (API) requests. The method also includes selecting one or more random biases for one or more properties of the one or more API requests. The method further includes generating a random sample of one or more values from an input domain space, wherein the one or more values are associated with one or more respective fields of the API being requested.

Abstract: A computer-implemented method includes receiving, by a storage system, encrypted data and a set of key identifiers. Each key identifier is associated with information specifying a storage location for which the key identifier is authorized. The method also includes storing, by the storage system, the encrypted data in at least one storage location and receiving, by the storage system, at least one key identifier of the set of key identifiers with a data access request. The method includes determining, by the storage system, whether the data access request is authorized for the at least one key identifier.

Abstract: A semiconductor structure comprises a gate structure of a transistor. The gate structure comprises a gate conductive portion disposed on a gate dielectric layer. The semiconductor structure further comprises a capacitor structure disposed on the gate structure. The capacitor structure comprises a first conductive layer, a dielectric layer disposed on the first conductive layer and a second conductive layer disposed on the dielectric layer. The first and second conductive layers are respectively connected to a first contact portion and a second contact portion.

Abstract: A temperature-dependent capacitor comprises a first conductive plate, a second conductive plate located in a parallel-planar orientation to the first conductive plate, and a dielectric material located between the first conductive plate and the second conductive plate, the dielectric material having a temperature-dependent dielectric constant (?) value, wherein the temperature-dependent capacitor has a positive correlation of an operating temperature of the temperature-dependent capacitor to a capacitance value of the temperature-dependent capacitor.

Abstract: A method for measuring alpha particle emissions may include obtaining a wafer emission rate, wherein the wafer emission rate is measured with a counter. The method may further include covering the wafer with a metal mesh grounded to a cathode of the counter wherein the metal mesh is grounded to the cathode outboard of the wafer and obtaining a mesh and wafer emission rate, wherein the mesh and wafer emission rate is measured with the counter. The method may further include replacing the wafer with a wafer carcass, obtaining a wafer carcass and mesh emission rate, and calculating a wafer carcass emissivity.

Abstract: A computer-implemented method includes receiving, by a processor, a physical design block and a physical hierarchy of a chip design of a chip. Further, the method includes extracting, by the processor, one or more features of a macro to be added to the chip design based on a logic synthesis of the chip design. Further, the method includes predicting, by the processor, specifications of the macro to be added to the chip design based on the physical design block, the predicting performed using a pre-trained machine learning model. Further, the method includes using, by the processor, the specifications of the macro to perform a physical synthesis of the chip design to determine a physical layout of the chip.

Abstract: Techniques regarding chemical compounds comprising perfluoroaryl groups that can facilitate post-synthesis functionalization are provided. For example, one or more embodiments described herein can comprise a chemical compound. The chemical compound can comprise a molecular backbone. The chemical compound can also comprise a pendent functional group bonded to the molecular backbone. The pendent functional group can comprise a perfluoroaryl group and a methylene group.

Abstract: File system performance enhancement is provided. Information related to a container of the computer accessing a file in a layer of a file system of an image corresponding to the container is recorded to form recorded file system layer access information. The recorded file system layer access information is shared with another file system of a container image corresponding to a different container on the computer. The container image is a same image as the image corresponding to the container that accessed the file to perform an operation associated with a cloud application.