Abstract: The present invention concerns a method of encapsulating images in a file, wherein the method comprises determining a grouping type based on a capture mode of the images; generating a grouping data structure describing the images as a group, the grouping data structure comprising image identifiers of the images of the group; and embedding the grouping data structure, the grouping type and the images in the file.

Abstract: A computer obtains records of multiple digital events from multiple vendors of digital event records, each digital event record having a digital ID of a user that initiated the respective digital event. A computer obtains at least one list of professional registry numbers of professionals in a profession. A computer classifies at least some portion of the digital event records and at least some internet web pages based on a standard taxonomical index. A computer identifies correlated identification data points among the digital event records and the professional registry records, and based on the taxonomic classification of pages and digital events, to infer a correlation between digital IDs from digital event records and actual physical identities of physical persons, and computing a parameter reflecting a degree of certainty of the inference.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and execute functions comprising: receiving, at a search engine, a search query comprising tokens; determining, using a weight determination model, token weights for the tokens included in the search query; comparing the token weights associated with the tokens to a probability threshold; identifying the tokens that satisfy the probability threshold; and utilizing the tokens that satisfy the probability threshold to identify the search results. Other embodiments are disclosed herein.

Abstract: In the case of a platform device (100) located at a web-site and capable of forming a network with a plurality of ID-detectable users or participants for gathering and processing items of information stored in a plurality of in each case code-identifiable and in each case topic-assigned storage spaces (110) of a platform (100) by the users or participants, a situation in which consensus-gaining evaluability and modifiability of the stored items of information with the formation of collective knowledge is achieved by the users or participants in that the storage spaces (110) present on the platform (100) and containing a plurality of various topics are in each case formed by a dual unit DuU, a dual unit DuU comprising in each case a first storage space (111) assigned to a predefinable topic and provided with initial items of information formulated by an initial participant but not editable by any other individual user or participant and a second storage space (112) assigned to the first storage space (111), wh

Abstract: Methods and systems for identifying a meaning of an ambiguous term in a natural language query. The media guidance application isolates first and second terms from a query received from a user and identifies, in a knowledge graph, first and second pluralities of candidate components associated with the first and second terms. The first and second terms each having multiple candidate components indicates the first and second terms have ambiguous meanings. The media guidance application matches each candidate component of the first and second pluralities of candidate components to form a plurality of pairs and determines strength of association for each pair in the plurality of pairs. The media guidance application filters the plurality of pairs by strength of association for each pair and determines a plurality of possible meanings based on the filtered plurality of pairs. The media guidance application selects a meaning from the plurality of possible meanings.

Abstract: A media application determines, based on pixels of images or videos from a collection of media items, clusters of media items such that the media items in each cluster have a visual similarity, wherein the collection of media items is associated with a user account. The media application selects a subset of the clusters of media from corresponding clusters of media items based on the media items in each cluster having a visual similarity within a range of threshold similarity values. The media application causes a user interface to be displayed that includes the subset of the clusters of media.

Abstract: Aspects of the disclosure include a natural language processing model by which topics of interest within a text are identified, such as by a predictive model that infers (e.g., based on scores associated with a text) a topic of interest associated with the text. The computer system may train or configure the prediction model, such as a machine learning model, to facilitate identification of topics of interest based on inputs, like one or more chunks of text, such as by keywords or phrases or combinations of keywords and associated metrics for nearness or frequency. The computer system may determine a measure of predicted impactfulness of the content item in relation to a topic of interest identified for the content item and determine whether to generate a notification transmitted to client devices of users having indicated the topic as of interest.

Abstract: Representative embodiments of a computer server system and method provide for personalization and customizable filtering of network search results and search result rankings.

Abstract: Provided are systems and methods for determining behaviors of a user that are associated with earning secondary income. In one example, a method may include receiving a request from a user device, identifying productivity attributes and consumption attributes of a user associated with the user device based on behavior of the user captured over time, determining a recommended value-generating behavior for the user via execution of a collaborative filtering model, where the collaborative filtering model receives the productivity and consumption attributes of the user and determines the recommended value-generating behavior based on historical value-generating behavior of other users having similar productivity attributes and consumption attributes, and transmitting the recommended value-generating behavior to the user device via a content channel between the server and the user device.

Abstract: The present disclosure relates to a method for communicating between an electronic tag and a computer connected to the internet, wherein the electronic tag: encrypts at least part of the information to be transmitted, using a data format preserving algorithm; generates a URL comprising at least the encrypted part of the information; and transmits the URL to an NFC reader.

Abstract: A system for analyzing screenshots can include a computing device including a processor coupled to a memory and a display screen configured to display content. The system can include an application stored on the memory and executable by the processor. The application can include a screenshot receiver configured to access, from storage to which a screenshot of the content displayed on the display screen captured using a screenshot function of the computing device is stored, the screenshot including an image and a predetermined marker. The application can include a marker detector configured to detect the predetermined marker included in the screenshot. The application can include a link identifier configured to identify, using the predetermined marker, a link to a resource mapped to the image included in the screenshot, the resource accessible by the computing device via the link.

Abstract: The invention provides an open platform for thought leaders and influencers to collaborate, curate, manage, promote, and share their expertise over a communications network, such as the Internet. The thought leaders are evaluated across multiple dimensions of their roles as an academic, author, entrepreneur, inventor, influencer and/or speaker, as well as in various functional domains. The rating and ranking is achieved by curating, measuring and analyzing their published thought leadership content portfolio across the Internet via a points-based system. Further, the invention provides business entities and service providers ways to both finding the world's top thought leaders, and nurture their own thought leaders.

Abstract: The invention generally relates to systems and methods for automatically generating websites using artificial intelligence that requires minimal user input, and which does not require the technical skills and expertise that is traditionally needed to develop websites. In addition, the present invention does not require users to start from a blank web page when creating websites.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize machine learning models to generate identifier embeddings from digital content identifiers and then leverage these identifier embeddings to determine digital connections between digital content items. In particular, the disclosed systems can utilize an embedding machine-learning model that comprises a character-level embedding machine-learning model and a word-level embedding machine-learning model. For example, the disclosed systems can combine a character embedding from the character-level embedding machine-learning model and a token embedding from the word-level embedding machine-learning model. The disclosed systems can determine digital connections between the plurality of digital content items by processing these identifier embeddings for a plurality of digital content items utilizing a content management model.

Abstract: An integrated circuit including a multiplier-accumulator execution pipeline including a plurality of multiplier-accumulator circuits to process the data, using filter weights, via a plurality of multiply and accumulate operations. The integrated circuit includes first conversion circuitry, coupled the pipeline, having inputs to receive a plurality of sets of data, wherein each set of data includes a plurality of data, Winograd conversion circuitry to convert each set of data to a corresponding Winograd set of data, floating point format conversion circuitry, coupled to the Winograd conversion circuitry, to convert the data of each Winograd set of data to a floating point data format. In operation, the multiplier-accumulator circuits are configured to perform the plurality of multiply and accumulate operations using the data of the plurality of Winograd sets of data from the first conversion circuitry and the filter weights, and generate output data based on the multiply and accumulate operations.

Abstract: An apparatus to facilitate acceleration of matrix multiplication operations. The apparatus comprises a systolic array including matrix multiplication hardware to perform multiply-add operations on received matrix data comprising data from a plurality of input matrices and sparse matrix acceleration hardware to detect zero values in the matrix data and perform one or more optimizations on the matrix data to reduce multiply-add operations to be performed by the matrix multiplication hardware.

Abstract: A device for in memory vector-matrix multiplication includes a memory array and in-memory logic. The memory array has at least two sections and stores a multiplier matrix. The memory array also receives and stores an input multiplicand arranged in a vector such that the operands of the vector-matrix multiplication are located on a same column of the memory array. Each of the sections is one of: a volatile memory array, a non-volatile memory array, a destructive memory array and a non-destructive memory array. The in-memory logic computes an output of the vector-matrix multiplication using the stored input vector and the stored multiplier matrix. The memory array is one of the following type of memory array: RAM, DRAM, SRAM, Re-RAM, ZRAM, MRAM and Memristor.

Abstract: In a system with control logic and a processing element array, two modes of operation may be provided. In the first mode of operation, the control logic may configure the system to perform matrix multiplication or 1×1 convolution. In the second mode of operation, the control logic may configure the system to perform 3×3 convolution. The processing element array may include an array of processing elements. Each of the processing elements may be configured to compute the dot product of two vectors in a single clock cycle, and further may accumulate the dot products that are sequentially computed over time.

Abstract: A time-series data prediction method is provided. The method includes storing a time-series model, inputting time-series data to the time-series model, and outputting a plurality of pieces of prediction data which is a preset number of pieces of prediction data or more based on the time-series model. The inputting of the time-series data to the time-series model includes substituting invalid data included in the time-series data with preset valid data, and inputting the time-series data including the valid data to the time-series model.

Abstract: This disclosure relates generally to system and method for parameter compression of capsule networks using deep features. The conventional capsule networks have distinct capability of retaining spatial correlations between extracted features but that comes at a cost of intensive computational, cost, memory usage and bandwidth requirement. The embodiments herein disclose a system and method for employing a lightweight deep features based capsule network that is capable of compressing the parameters. In an embodiment, the system includes a deep feature based capsule network such that the capsule layer is preceded by feature blocks. Said feature blocks comprises convolutional operation with a kernel size 3, followed by convolutional operation with kernel of size 1, and a Batch Normalization layer, and hence are able to extract deep features.

Abstract: A control system includes: a generation unit that generates a dataset for each unit section; a feature extraction unit that generates feature quantity data on the basis of the dataset; and a score calculation unit that calculates a score indicating a degree of deviation of the feature quantity data from learning data, by referring to the learning data. The feature quantity data and the score are output as compression results of the dataset. The control system includes a restoration unit that selects pattern data corresponding to a class determined according to the score contained in the compression result, and after adjusting the pattern data using the feature quantity data contained in the compression results, restores the pattern data as a temporal change in the dataset corresponding to the compression results.

Abstract: A myocardium image analysis method comprising acquiring a target image including precontrast-enhanced myocardium, based on a type of coronary artery related to the myocardium, distinguishing the myocardium included in the target image, using an artificial neural network, providing information on the distinguished myocardium, wherein the artificial neural network is trained based on a training database generated by matching images for training of precontrast-enhanced coronary artery and myocardium and images for training of postcontrast-enhanced coronary artery and myocardium.

Abstract: A learning device is configured to acquire first training data that is training data regarding a registered category object and second training data regarding an unregistered category object, the registered category object belonging to a registered category which is registered as an identification target, the unregistered category object not belonging to the registered category. The learning device is also configured to calculate, on a basis of the first training data and the second training data, an identification score indicating a degree of certainty that an object to be identified belongs to the registered category. The learning device is also configured to calculate, on a basis of the second training data, an unregistered score indicating a degree of certainty that the object to be identified does not belong to the registered category.

Abstract: A computer system trains a federated learning model. A federated learning model is distributed to a plurality of computing nodes, each having a set of local training data comprising labeled data samples. Statistical data is received from each computing node that indicates the node's count of data samples for each label, and is analyzed to identify one or more computing nodes having local training data in which a label category is underrepresented beyond a threshold value with respect to data samples. Additional data samples labeled with the underrepresented labels are provided, and the computing nodes perform training. Results of training are received and are processed to generate a trained global model. Embodiments of the present invention further include a method and program product for training a federated learning model in substantially the same manner described above.

Abstract: Provided is an end-to-end attention pooling-based classification method for histopathological images obtaining a better classification effect for small number of samples by S1, cutting the histopathology image into patches of a specified size, removing the patches with too much background area and packaging the remaining patches into a bag; S2, training a deep learning network by taking the bag obtained in S1 as an input using a standard multi-instance learning method; S3, scoring all the patches by using the trained deep learning network, and selecting m patches with highest and lowest scores for each whole slide image to form a new bag; S4, building a deep learning network including an attention pooling module, and training the network by using the new bag obtained in S3; and S5, after the histopathology image to be classified is processed in S1 and S3, performing classification by using the model obtained in S4.

Abstract: A method of training an action selection neural network to perform a demonstrated task using a supervised learning technique. The action selection neural network is configured to receive demonstration data comprising actions to perform the task and rewards received for performing the actions. The action selection neural network has auxiliary prediction task neural networks on one or more of its intermediate outputs. The action selection policy neural network is trained using multiple combined losses, concurrently with the auxiliary prediction task neural networks.

Abstract: Examples relate to a concept for anonymous re-identification, more specifically, but not exclusively, to systems, apparatuses, methods and computer programs for performing anonymous re-identification and for training a machine-learning model for use in anonymous re-identification. An apparatus for re-identification comprises processing circuitry configured to obtain media data via an interface. the processing circuitry is configured to generate a re-identification code representing at least a portion of the media data using a hashing algorithm. The processing circuitry is configured to transform the re-identification code using a transformation functionality to obtain a transformed re-identification code.

Abstract: Described is a system for object detection that is robust to adversarial attacks. An initial hypothesis of an identity of an object in an input image is generated using a sparse convolutional neural network (CNN) and a distribution aware classifier. A foveated hypothesis verification process is performed for identifying a region of the input image that supports the initial hypothesis. Using a part-based classifier, an identity of a part of the object in the region of the input image is predicted. An attack probability for the predicted identity of the part, and the initial hypothesis is updated based on the predicted identity of the part and the attack probability. The foveated hypothesis verification process and updating of hypotheses is performed until a hypothesis reaches a certainty threshold. The object is labeled based on the hypothesis that reached the certainty threshold.

Abstract: An apparatus and method. The apparatus including a least a processor configured to: receive a user profile from a profile database, identify a plurality of tasks using the user profile, determine at least an assignable task, receive internal personnel assignment data from a personnel database, determine internal personnel additional tasks, receive posting data, determine external personnel assignment data as a function of the posting data, generate a personnel list as a function of the internal personnel assignment data and the external personnel assignment data, generate at least one personnel assignment for the assignable task as a function of the personnel list; and transmit the at least a personnel assignment to a user device.

Abstract: A method, a computing system and a computer program product for collecting and labelling images includes capturing a video of an object with a camera. A movement trace of a pointer is recorded that outlines the object while capturing the video of the object. Further included is generating a labeled image based at least on the captured video of the object and the recorded movement trace of the pointer. The labeled image includes the object and a line that surrounds the object.

Abstract: Systems and methods are provided for intelligently accessing media content based on rights. This may be accomplished by a media guidance application that generates a DRM score associated with a first copy of the media asset. The media guidance application determines that plurality of alternative copies of a media asset are available from other sources and determines DRM scores for the alternative copies. The media guidance application determines that one of the alternative copies has a lower digital rights management score as compared to the first copy of the media asset and stores the alternative copy instead of the first copy of the media asset.

Abstract: An information processing apparatus, an information processing method, and an information processing program configured to manage the copyright-related information of content appropriately. The information processing apparatus includes control circuitry to acquire, when there is a plurality of copyright holders relating to one piece of content, consensus information indicating an agreement on a share of respective copyrights of the plurality of copyright holders, and create a transaction for recording the acquired consensus information on a blockchain system.

Abstract: A new approach is proposed to support software validation and licensing management. An instance of a software component deployed to a physical computing device is configured to request a copy of license of the software component from a license server out-of-band before the software component can be installed and/or booted up on the physical computing device. Upon receiving a request for the copy of license from the instance of the software component, the license server is configured to grant or deny the request based on the current number of copies of license of the software component available. If the request is granted, the instance of the software component is booted up on the physical computing device. During its operation, the instance of the software component continues to communicate with the license server periodically to indicate whether the copy of license assigned by the server is still in use.

Abstract: A content server system is provided that includes at least one processor configured to store a user account for a user at a content server of the content server system that is configured to serve server-side rendered content to a client computing device of the user. Audio is played out via a sound output device associated with the client computing device. The at least one processor is further configured to determine a licensing identifier associated with a device of the user or the user account of the user, send the licensing identifier to a third-party licensing server device, receive an indication that an active license is associated with the licensing identifier, determine that the user is authorized to access a digital rights managed audio rendering software, and cause audio of the server-side rendered content to be rendered using audio rendering algorithms of the digital rights managed audio rendering software.

Abstract: A system and method for receiving one or more non-fungible tokens (NFTs) that are associated with links to digital assets, ownership information, NFT metadata, media content metadata, or other media content information. The system may associate the one or more NFTs with other NFTs to create a collection of NFTs that form a song, album, video, or other collection/combination of media content. The system may provide a NFT collectible player to interact with the combination of NFTs in a particular order or for a particular duration.

Abstract: Techniques are disclosed relating to maintaining device security associated with reduced power modes. In some embodiments, a computing device receives a request to place the computing device in a reduced power mode in which a first memory of the computing device is powered off. Based on the request, the computing device offloads a memory page from the first memory to a second memory such that the offloading includes encrypting the memory page. Based on a request to resume from the reduced power mode, the computing device restores the memory page from the second memory to the first memory such that the restoring includes decrypting the encrypted memory page. After initiating the restoring, the computing device presents a user authentication prompt asking for a user credential.

Abstract: A method is disclosed. The method includes receiving a communication comprising a real credential from a communication device and providing the real credential to a token computer. The token computer generates a token and a cryptogram, and the cryptogram is formed using a resource provider initiated transaction indicator. The method includes receiving, from the token computer, the token and the cryptogram, and transmitting, to a processing computer, an authorization request message comprising the token, the cryptogram, a resource provider identifier, and a transaction amount for a first transaction. The processing computer validates the cryptogram, exchanges the token for the real credential, stores the resource provider identifier, and forwards the authorization request message including the real credential, and the transaction amount to an authorizing entity computer. The method also includes receiving an authorization response message from the authorizing entity computer.

Abstract: Information relating to a non-qualified digital identifier in a context of a digital service being provided is received. the non-qualified digital identifier is associated with one or more qualified digital identifiers. It is determined that the one or more qualified digital identifiers would be authorized for the digital service. The non-qualified digital identifier is authorized to access to the digital service as a result of the association of the nonqualified digital identifier with the one or more qualified digital identifiers.

Abstract: Exemplary embodiments of the present disclosure are directed to pairing HDCP-compatible transmitter and receiver devices. A transmitter device can scan one or more of its multimedia interfaces for a connected receiver device. When a connected receiver device is detected, the transmitter device determines whether the transmitter device is currently paired with the connected receiver device. If there is no current pairing, the transmitter device obtains at least a receiver KSV key from the receiver device and reads at least a transmitter KSV key from its memory. The pairing operation is either completed or terminated based on a user authentication process. If completed, the transmitter device encrypts at least the transmitter KSV key and the receiver KSV key. If terminated, the transmitter device disables the connected receiver device. Whether the pairing operation is terminated or completed, the transmitter device completes the bootup sequence.

Abstract: A system and method for authenticating a user via a single voice audio input is disclosed. The method includes obtaining voice audio from a user, converting the voice audio to text, comparing at least a portion of the text to a database, determining whether a user profile exists in the database based on the comparing, the user profile including a voiceprint, in response to determining that the user profile exists in the database, analyzing the voice audio against the voiceprint of the user profile; and authenticating the user based on the voice audio substantially matching the voiceprint of the user profile.

Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data characterizing movements performed by a target user. The sequence of motion data is received as a point cloud of the motion data. The point cloud is input a machine-learned model trained based on manually labeled point clusters of a training set of motion data that each represent a movement. The machine-learned model identifies a movement represented by the point cloud of the motion data and assigns a label describing the movement the point cloud. The system generates a labeled representation of the sequence of motion data comprising the label identifying a portion of the sequence of motion data corresponding to the identified movement.

Abstract: Provided is a system for face authentication which can operate separately for individual providers of face authentication service in a stable and efficient manner. The system includes: face authentication machines; an administrator terminal; a face management server for storing face image data of registered users; and face matching servers, each configured to generate face feature amount data of a person to be verified from image data acquired from a camera of a face authentication machine and to perform a matching operation by comparing the face feature amount data of the person with that of the registered users. Prior to face authentication, data of associations between face authentication machines and face matching servers entered by an administrator is transmitted from the administrator terminal to the face management server.

Abstract: A technique for managing, in a centralized manner, user accounts in a control system which includes two or more units is provided. A control system (2) is provided with first and second units (200, 300). The first unit (200), upon reception of an access request to the first unit (200) from an external device (500), requests the external device (500) to input a user account, and transmits the user account received from the external device (500) to the second unit (300). The second unit (300, U3) refers to registration information (330) defining account information of registered users, and, when the user account is determined to be registered, transmits to the first unit (200) a token indicating permission of access. The first unit (200) transmits the token received from the second unit (300) to the external device (500).

Abstract: Provided are methods and systems for controlling access to a property via one or more electronic locks.

Abstract: Methods and systems are disclosed herein for authenticating a user. A security device may use an object associated with a user and a device of the user to authenticate the user, for example, if the user has forgotten a password. A user may insert the object (e.g., a card, or other object) into the security device and may select an option to authenticate via a device that is trusted by both the security device and the user, rather than authenticating by entering a password at the security device.

Abstract: Methods, systems, and devices for fire control system authentication are described herein. One method includes authenticating a user device to an authentication server, receiving, from the authentication server, an offline token, and authenticating the user device to a fire control panel using the offline token.

Abstract: A system and method for facilitating device and application authentication between an external device and an implanted medical device (IMD), wherein a therapy application executing on the external device is operative to communicate with the IMD via wireless telemetry communications. A device authentication parameter may be decomposed into two key components, wherein one component may be stored in a cloud key vault and the other component may be distributed to the external device as an obfuscated portion embedded in the therapy application. Upon receiving the therapy application, the external device is operative to separately retrieve both key components and reconstitute the original authentication parameter therefrom, which may be presented to the IMD for authentication.

Abstract: A method includes, at a security agent executing on a computing platform including a set of resources and a first application: authenticating the security agent with a security device; accessing a configuration profile, from the security device, defining identity information associated with the first application and a first security policy defining a subset of resources, in the set of resources, to which the first application is permitted access; authenticating the first application based on the identity information; monitoring the set of resources responsive to execution of the first application on the computing platform; and issuing a command to cause the computing platform to enter a safe state in response to detecting an access by the first application to a first resource in the set of resources, the first resource excluded from the subset of resources.

Abstract: An example operation includes one or more of determining a first output impedance of a first electronic control unit, determining a second output impedance of a second electronic control unit in response to the first output impedance is outside of a range of a first threshold of the first electronic control unit, and notifying in response to a difference between the second output impedance and a second threshold of the second electronic control unit is less than a further difference between the first output impedance and the first threshold.

Abstract: Methods and systems for protecting a secure computing system. Aspects include connecting a pluggable security card to a motherboard of the secure computing system. Aspects also include activating a detection circuit to monitor a physical connection between the pluggable security card and the motherboard. Based on detecting that the physical connection between the pluggable security card and the motherboard has been interrupted, aspects include setting a tamper event flag, wherein the secure computing system is prevented from being operated when the tamper event flag is set.