Abstract: Apparatus for performing searching of a plurality of reference images, the apparatus including one or more electronic processing devices that search the plurality of reference images to identify first reference images similar to a sample image, identify image tags associated with at least one of the first reference image, search the plurality of reference images to identify second reference images using at least one of the image tags and provide search results including at least some first and second reference images.

Abstract: Key name synthesis is disclosed. A metrics data point is received. Based at least in part on a translation statement, at least a portion of the received metrics data point is associated with a key specified by the translation statement such that the specified key and the associated at least portion of the received metrics data point form a key-value pair. The key-value pair is associated with the received metrics data point.

Abstract: A method of searching for videos includes receiving, by a computer device, a search query from a user computer device. The method also includes determining, by the computer device, a set of videos that satisfy the search query. The method further includes determining, by the computer device, a subset of related videos from the set using metadata to determine a relationship based on date, time, and location. The method additionally includes generating, by the computer device, a consolidated video from the subset of related videos by merging a first portion of a first one of the subset of related videos with a second portion of a second one of the subset of related videos.

Abstract: A system includes instructions for execution by at least one processor, including, in response to an event, obtaining a first set of alerts stored in the alert database corresponding to a first scenario of a set of scenarios and selecting a first model of a set of models corresponding to the first scenario and identifying a first set of features stored in the features database corresponding to the first scenario. The instructions include, for each alert of the first set of alerts, identifying a first identifier included in the alert, retrieving the first set of features of the first identifier from the parameter database, determining a score using the first model based on the retrieved first set of features, and adding the alert and the score to a result list. The instructions include displaying, on a user device, the result list including the first set of alerts and corresponding scores.

Abstract: A method, computer program product, and computer system for identifying duplicate sectors in a block of a plurality of blocks. The duplicate sectors in the block may be zeroed out. A data reduction operation may be performed on the block after the duplicate sectors are zeroed out.

Abstract: Embodiments are directed to managing data for unified graph representation of skills and acumen. Information associated with one or more subjects may be classified to provide profile information that conforms to a unified schema. Fields of the profile information may be classified as facts, fact-relationships, actions, skills, or skill-relationships based on the unified schema. A plurality of profile graphs may be generated based on map models and the facts, the fact-relationships, the actions, the skills, or the skill-relationships such that the map models include one or more directives for associating the facts, the fact-relationships, the actions, the skills, or the skill-relationships with one or more nodes or one or more edges in the plurality of profile graphs. In response to query information provided by one or more analysis applications, classifying a portion of the plurality of profile graphs based on the query information.

Abstract: Disclosed are methods, systems, and computer-readable medium for displaying contextually relevant links by a browser extension. For instance, the method may include: comparing terms of a set of terms with a content of a user interface to identify matching terms; in response to identifying matching terms, transmitting a query to a server, the query indicating the matching terms; receiving a response from the server, the response including one or more information cards for each of the matching terms; annotating instances of the identified matching terms on the user interface; in response to a user interaction with an annotated instance of an identified matching term, causing an information card to be displayed that corresponds to the identified matching term, the information card including a link element; determining whether a user input selects the link element; and in response to determining the user input selecting the link element, executing a link process.

Abstract: An approach is provided in which the approach calculates at least one weighting factor based on a word frequency analysis of an unlabeled document against a set of word frequencies corresponding to a set of labeled documents. The approach computes an a posteriori classification probability of the unlabeled document based on the at least one weighting factor, and creates an inferred classifier based on the a posteriori classification probability. The approach classifies the unlabeled classifier using the inferred classifier.

Abstract: An integration system comprising a biological image acquiring device which acquires, from a sample including biological particles which are a detection target, a biological image which is an image of the biological particles; a nucleotide sequence information acquiring device which acquires nucleotide sequence information of the biological particles; and an integration device which associates and registers the biological image and the nucleotide sequence information acquired from the same type of biological particles in an integrated database.

Abstract: Resume data identification implementations are described that identify anonymized resume corpus data pertaining to the same individual. In one implementation, identifying this data in the anonymized resume corpus involves segmenting the corpus into resume snippets and clustering the resume snippets into groups. Within each group the resume snippets potentially pertain to the same individual. In addition, one or more optional filtering operations can be performed to remove snippets from a group that are less likely to be associated with the same person. This filtering is especially useful when the resume corpus is large.

Abstract: A data analytics application receives a workflow that includes a sequence of tools. Each tool performs a data analytics function. The data analytics application processes a data file using the sequence of tools to generate a result item representing an outcome of the processing of the data file. The data analytics application stores one or more metadata files, each of which includes data generated by an interactive tool in the sequence during the processing of the data file. The data analytics application receives a user input through an interactive element associated with an interactive tool in the sequence. The interactive element can modify an operation of the interactive tool based on the user input. The data analytics application retrieves the metadata file for the interactive tool and processes the metadata file by using a subset of the sequence of tools and the user input to generate a different result item.

Abstract: Technology is described herein for searching an index, including operations of: obtaining a source data item; generating a source context-supplemented vector based on the source data item; and searching the index to find one or more target context-supplemented vectors that are determined to match the source context-supplemented vector. Each context-supplemented vector, which is associated with a particular data item, is made up of two parts: a language-agnostic vector and a context vector. The language-agnostic vector expresses the meaning of the particular data item in a manner that is independent of a natural language that is used to express the particular data item, while the context vector expresses a context associated with the formation of the particular data item. More generally, the technology's use of context vectors allows it to perform index search operations in a more efficient manner, compared to a search engine that does not use context vectors.

Abstract: This application describes a data processing method, a server, and a computer storage medium. In a method, a real-time data stream is collected. The real-time data stream includes a plurality of usage data for a plurality of content. Each of the plurality of usage data is associated with (i) content identification information of a respective one of the plurality of content and (ii) a time stamp of the respective usage data and indicating one of a plurality of user actions that is performed on the respective one of the plurality of content. Further, each of the plurality of user actions is associated with an action weight. A user status queue is generated according to the plurality of usage data and the associated content identification information. A user status feature is determined. Recommended information is determined according to the user status feature and is sent to a user terminal.

Abstract: Real-time prevention of computerized event manipulation through the use of Artificial Intelligence (AI)-assisted quantum computing. Determine, at an event request time, if the event is being manipulated and/or is part of a manipulation scheme and, if so, prevent the event from being initiated. A classical computing platform analyzes a batch of historical events using AI including machine learning classification algorithms to result in a manipulation indicator for each of the historical events. A quantum computing platform converts each of the historical events in the batch to a qubit sequence based on attributes associated with the events. The qubits are entangled with qubits of a primary qubit sequence and maintained an entangled list. When an event is requested, attributes associated with the pending event are communicated to the quantum computing platform, which transforms/converts the pending event to the primary qubit sequence based on the attributes associated with the pending event.

Abstract: This invention relates to computer engineering and operating system components, in particular, it discloses a new method of building a hierarchal file system, which provides new functionality and flexibility, including: unlimited maximum possible file system size (number of elements), unlimited size of a single element, unlimited types of data, that can be represented as a file. In addition, the disclosed file system allows for user-defined types of data and can be used as a registry for OS system components, saving space important for resource-restricted embedded systems. The minimum file system size is 2 Bytes only. File system supports empty or non-unique files naming and natively provides built-in security using specification-based nodes header encoding. This result is achieved by using file systems nodes metadata comprising: the unique identifier (ID), an ASN.1 header with PER encoding, and a doubly linked list of logical blocks of its data.

Abstract: Techniques for batch mode execution for calls to remote services are described. A method of batch mode execution for calls to remote services may include generating, by a query service of a provider network, a query plan to optimize a query for batch processing of data, the query plan including at least a function reference to a function provided by at least one service of the provider network, executing the query plan to invoke the function associated with the function reference, wherein a batch function generates a request including a batch of service calls to be processed by the at least one service, sends the request including the batch of service calls to the at least one service, and obtains a plurality of machine learning responses from the at least one service, and generating a query response based on the plurality of responses.

Abstract: A method for providing one or more random sample documents from a corpus of documents using a search engine is provided. The providing of each of the random sample documents comprises selecting randomly a time window from a set of time windows. A search query is sent to the search engine defining a search for documents of the corpus with time-stamps within the time window defined by the randomly selected time window. In response to the sending of the search query, a search result is received from the search engine. The search result comprises a set of the documents of the corpus with time-stamps within the time window. One of the documents comprised by the received set of documents is then selected randomly.

Abstract: The present disclosure includes apparatuses, methods, and systems for acceleration of data queries in memory. An example host apparatus includes a controller configured to generate a search key, generate a query for particular data stored in an array of memory cells in a memory device, and send the query to the memory device. The query includes a command to search for the particular data. The query also includes a number of data fields for the particular data including a logical block address (LBA) for the particular data, an LBA offset for the particular data, and a parameter for an amount of bits in data stored in the memory device that do not match corresponding bits in the search key that would result in data not being sent to the host.

Abstract: A method includes, through a server, determining a context of interaction between a user of a data processing device communicatively coupled to the server through a computer network and the server, fetching a set of queries from a database associated with the server in accordance with determining the context of interaction, and loading the set of queries one by one on a first media device configured to render the set of queries in an audio, a video and/or a gesture format. The method also includes, through the server, receiving a response to a query of the set of queries from the user via the first media device and/or the data processing device, and refining the set of queries based on the response received to the query from the user in accordance with an Artificial Intelligence (AI) and/or a Machine Learning (ML) engine executing on the server.

Abstract: An apparatus comprises at least one processing device configured to collect, from a plurality of storage systems, data patterns for data stored in the plurality of storage systems and to cluster the plurality of storage systems into one or more data pattern sharing clusters based at least in part on the collected data patterns, a given one of the one or more data pattern sharing clusters comprising two or more of the plurality of storage systems. The at least one processing device is also configured to identify, for the given data pattern sharing cluster, a subset of the collected data patterns and to provide, to the two or more storage systems of the given data pattern sharing cluster, the identified subset of the data patterns, wherein the identified subset of the collected data patterns are utilized by the two or more storage systems in performing data deduplication.