Abstract: Methods and apparatus are disclosed for efficient factor analysis of a large population of data records, using factors that are categorical variables. Computation is balanced between extracting key factors by training a machine learning classifier on a reduced sample of data records, for computational efficiency, and scoring the categorical values of the key factors on the entire population, for accuracy of results. A joint factor is constructed by combining all proposed root factors, and the sample is generated by stratified sampling on the joint factor. The key factors are selected from candidate factors which can be combinations of the root factors. Original variables of a dataset, whether categorical or not, can be binned to obtain new categorical factors. Variations and user interfaces are also disclosed.

Abstract: The present technology can detect potential labeling conflicts made during different labeling tasks when those tasks are checked in to ensure that a map database is free from conflicts that might interrupt publishing of a map. The present technology can determine whether a first labeled version of map portion is based on a most recent version for the map portion that is stored in the map database, and when it is determined that it is not, and there is an intervening version, the present technology can identify differences between the intervening version of the map portion and the first version of the map portion and identify differences between the second version of the map portion and the first version of the map portion. Based on the identified differences, the present technology can determine whether any of those differences are conflicting.

Abstract: Methods and apparatus for generating waveforms for application in a quantum computing device. In one aspect, a system comprises a batch generator that receives experiment data sets defining respective experiments, each experiment data set comprising a set of waveforms defined by respective waveform data; determines unique waveforms; generates a corresponding set of respective waveform data that includes the respective waveform data for each unique waveform; generates, for each of the experiments, a waveform list that references the respective waveform data in the set of respective waveform data that corresponds to the waveforms in the set; and batch instructions that are executable by waveform generator hardware and that cause the waveform generator hardware to process each waveform list by selecting each referenced waveform data in the waveform list; and generate, in response to the selected waveform data, a waveform that is suitable for application in a quantum computing device.

Abstract: A system, method, and computer program product provide a search engine which may use time series of data relevant to a search query to generate relevant results that may be used for predictions of events related to the query. Embodiments determine the underlying driving factors that most influenced the search query topic. In one aspect, the predictive ability of time series may be used to determine the driving factors. In another aspect, the system and method may employ a neural network to run a prediction model for determining conditional distribution of future values of the search query topic. The information may be displayed in a user interface where the driving factors and other information may be user edited to observe the effects source data has on the search query topic.

Abstract: Managing database queries using a deconstructed cloud database including receiving, by a communications manager of the deconstructed cloud database, a state specification from a client computing system; converting, by a query optimizer of the deconstructed cloud database, the state specification into a query plan comprising a database query targeting an offloaded execution engine; retrieving, by a dispatcher of the deconstructed cloud database, query results from the offloaded execution engine using the database query; and presenting, by the communications manager, the query results to the client computing system.

Abstract: A data classification system includes a proxy and a processor. The proxy is configured to intercept transactions that are conducted over a network between clients and a data store. The processor is configured to construct, based on the intercepted transactions, a classification map including a classification of at least some of the data that is stored in the data store into predefined classes.

Abstract: A method and system for controlling processing by a data server. An example method includes a computing system receiving from a client entity a request for information, and, responsive to receiving from the client entity the request, the computing system (i) determining, based on the client entity from which the computing system received the request, a processing time limit for the data server to apply in processing a query for the information and (ii) generating and sending to the data server the query, including in the query an indication of the determined processing time limit. The data server could thus receive and process the query and impose the specified processing time limit on the processing of the received query.

Abstract: Systems and methods of the present invention provide for: generating a GUI comprising survey questions associated with degree factors and associated rating GUI components indicating application of the factor to a user; receiving the factor rating for each survey question; identifying a high factor rating exceeding a threshold; selecting a degree identifier sharing a common high factor rating between the first response and a response stored in the database; generating a candidate degree list including the degree identifier; generating a second GUI including the candidate degree list; and transmitting the second GUI to a client device.

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: 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 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: 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: 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: 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.

Abstract: Devices and techniques are generally described for generating personalized search query suggestions. In some examples, a first search query entered by a user into a search field may be determined. A first keyword associated with the first search query may be determined based at least in part on past interactions of the user with content. In various examples, first string data comprising at least a portion of the first search query and the first keyword may be generated. A data store may be searched using the first string data. A first suggested search string associated with the first string data may be determined. In some examples, the first suggested search string may be displayed on a display in association with the search field.

Abstract: A method of obtaining a response to a query inputted by a user, the method comprising: receiving a user inputted query; representing the user inputted query as a sequence of embedding vectors using a first model; encoding the sequence of embedding vectors to produce a context vector using a second model; retrieving responses with associated response vectors; scoring response vectors against the context vector, wherein the scoring is a measure of the similarity between the context vector and a response vector; and outputting the responses with the closest response vectors, wherein the first model is configured to segment a user inputted query into a sequence of units from a vocabulary of units and represent each unit in the sequence as an embedding vector, wherein at least one of the units in the vocabulary is an incomplete word, and wherein the first model comprises parameters that are stored using eight bits per parameter; and wherein the second model has been trained using corresponding queries and response

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for transition-coded media, measuring engagement of transition-coded media, and distribution of components of transition-coded media. For instance, the method may include: obtaining a media file; determining whether the media file includes transition-coded media; in response to determining the media file includes the transition-coded media, setting up a dynamic media environment; detecting whether a user is interacting with the transition-coded media; and in response to detecting the user is interacting with the transition-coded media, executing the transition-coded media with the dynamic media environment.