Abstract: A system and method for automatically detecting misinformation is disclosed. The misinformation detection system is implemented using a cross-stitch based semi-supervised end-to-end neural attention model which is configured to leverage the large amount of unlabeled data that is available. In one embodiment, the model can at least partially generalize and identify emerging misinformation as it learns from an array of relevant external knowledge. Embodiments of the proposed system rely on heterogeneous information such as a social media post's text content, user details, and activity around the post, as well as external knowledge from the web, to identify whether the content includes misinformation. The results of the model are produced via an attention mechanism.

Abstract: Embodiments of the present disclosure describe systems, methods, and computer program products for improving query processing of a database. An example method can include: storing table data for a table in a plurality of micro-partitions, each micro-partition comprising a portion of the table data for the table; for each micro-partition of the plurality of micro-partitions, storing metadata for the micro-partition in at least one of a plurality of expression properties; and selecting, by a processing device, a subset of the plurality of expression properties to be grouped into a grouping expression property based at least partially on the metadata of the subset of the plurality of the expression properties. The grouping expression property may include cumulative metadata associated with the metadata of the subset of the plurality of expression properties.

Abstract: A building system of a building including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to manage a plurality of entitlements for a plurality of subscriptions of one or more buildings with a building entitlement model, receive a first request to perform a first operation for a first subscription and a second request to perform a second operation for a second subscription, and implement the first operation on first computing resources of a first zone based on the building entitlement model in response to a first determination that the first subscription has the first entitlement and implement the second operation on second computing resources of the second zone based on the building entitlement model in response to a second determination that the second subscription has the second entitlement.

Abstract: Examples of a system for intelligent communication management for content summarization are provided. In an example, the system receives a summary generation requirement. The system establishes a question database for generation a set of questions for a user corresponding to the summary generation requirement. The system implements an artificial intelligence component to sort the answers obtained from the question and generates a user-specific knowledge database. The system may use the user-specific knowledge model for generation of further questions for the user. The system may assist a user with collecting information in a conversational manner mode and to automatically produce intelligible deliverables. The system may accept multiple modes of input while collecting information from a user. The system may be used for an automatic summary generation for customer service conversations, interviews, conferences and presentations, a person's holiday chronicles, and the like.

Abstract: Provided is an artificial intelligence (AI) answering system including a user question receiver configured to receive a user question from a user terminal; a first question extender configured to generate a question template by analyzing the user question and determine whether the user question and the generated question template match; a second question extender configured to generate a similar question template by using a natural language processing and a deep learning model when the user question and the generated question template do not match; a training data builder configured to generate training data for training the second question extender by using an neural machine translation (NMT) engine; and a question answering unit configured to transmit a user question result derived through the first question extender or the second question extender to the user terminal.

Abstract: Systems and methods are disclosed for search query language identification. One method comprises generating a seed dictionary comprising a plurality of labeled dictionary terms and receiving a plurality of unlabeled sample query terms. The plurality of unlabeled sample query terms are compared to the plurality of labeled dictionary terms at a first time, and a first set of labeled sample query terms are generated by labeling at least a subset of the plurality of unlabeled sample query terms based on the first comparison. Remaining unlabeled sample query terms are then compared with the first set of labeled sample query terms at a second time, and a second set of labeled sample query terms are generated by labeling the remaining unlabeled sample query terms based on the second comparison. The first and second sets of labeled sample query terms are provided to a machine learning model configured for query language prediction.

Abstract: The technology relates to cosharding tables within a distributed storage system. A data table including one or more rows may be received. Each row in the data table may include an identifier key and pieces of data. Each piece of data in the data table may be indexed into individual rows of an index table, wherein each row in the index table includes data associated with the identifier key of the data table from which the piece of data in the respective row was indexed. The index table may be sharded into splits, wherein the sharding includes assigning each row of the index table into one of the splits based on the identifier key of the data table from which the piece of data in the respective row was indexed. The splits may be stored into two or more portions of the distributed storage system.

Abstract: A computer implemented method aggregates change data. The change data formatted in a byte sequence that is used by a target of the change data is received. The change data is stored in a region in an add buffer in a buffer system in response the change data being for an add operation. A determination is made as to whether a collision is present between the change data and stored change data in the add buffer in response to the change data being for a delete operation. A collision location is stored for the region in the add buffer containing the stored change data corresponding to the collision in response to the collision being present. The stored change data in regions in the add buffer in which a set of collisions is absent is sent to the target in response when the change data is to be applied to the target.

Abstract: Embodiments manage a lifecycle of distributed data objects from at least a first data fabric node. Embodiments receive a request from a publisher to anchor a scope. Embodiments anchor the scope to an anchor in the first data fabric node to generate an anchored scope, where the anchor includes a previously published first object and a corresponding first lifecycle and anchoring the scope includes registering interest in the first lifecycle of the anchor. Embodiments publish, by the first data fabric node, scope metadata corresponding to the anchored scope. Embodiments then receive a request from the publisher to publish a second object into the anchored scope to define an anchored object, the anchored object including the first lifecycle.

Abstract: An agent device receives input information that is input by the user, in a case in which the input information is a question from the user, executes inference processing on the input information to infer an intent of the question in order to acquire a response to the question based on the intent, in a case in which a plurality of the responses are acquired, provides the notification device with option information that includes the plurality of responses as options, in a case in which new input information is received, determines whether the new input information is information requiring the inference processing or is selection information relating to a selection result from selection of the options, and in a case in which the new input information is the selection information, provides the notification device with response information regarding the response associated with the selection result without executing the inference processing.

Abstract: This disclosure describes techniques for updating planogram data associated with a facility. The planogram may indicate inventory locations within the facility for various types of items supported by product fixtures. In particular an image of a product fixture is analyzed to identify image segments corresponding to product groups, where each product group consists of instances of the same product and each image segment corresponds to a group of image points. Image data is further analyzed to determine coordinates of the points of each image segment. A product space corresponding to the product group is then defined based on the coordinates of the points of the product group. In some cases, for example, a product space may be defined in terms of the coordinates of the corners of a rectangular bounding box or volume.

Abstract: A modified configuration management database (CMDB) system is disclosed in which detected configuration item (CI) vulnerabilities are stored as less-resource-intensive detection objects, rather than as more-resource-intensive vulnerable item (VI) objects. The system includes a vulnerability response (VR) server that enables promotion rules to be created and periodically applied to the stored detections. When the conditions of a detection promotion rule are satisfied by information relating to a stored detection, a new VI may be created and related to the stored detection within the CMDB. The disclosed promotion rules can be configured to ensure that VIs are only automatically created for high-risk or relevant detections, substantially reducing the number of VIs to be created, stored, and managed. As such, the disclosed system substantially reduces resource consumption and improves the efficiency and operation of the CMDB.

Abstract: A method for independent event or location based search, with steps of receiving, from a user, at least one of calendar data and geo-location data and analyzing the at least one of the calendar data and the geo-location data. Then determining, using the at least one of the analyzed the calendar data and the geo-location data, without instructions from the user, an event or location based search request and searching semi-private metadata and semi-private correlated metadata related to the user with the event or location based search request to determine an event-location result. Lastly, providing to the user the event-location result.

Abstract: A method for execution by at least one processor of a database system includes storing a plurality of column values for a first column of a plurality of rows. Each of a set of missing data-based conditions for the first column are indexed via an indexing scheme. A subset of the set of missing data-based conditions that satisfy a query predicate of a query are identified. An IO pipeline for access of the first column based on the query predicate and further based on the subset of the set of missing data-based conditions is generated. The IO pipeline is applied in conjunction with execution of the query by applying at least one index element to identify a proper subset of the plurality of rows based on index data of the indexing scheme, and by generating a query resultant based on the proper subset.

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: Certain aspects of the present disclosure provide techniques for operation of a feature management platform. A feature management platform is an end-to-end platform developed to manage the full lifecycle of data features. For example, to create a stateful feature, the feature management platform can receive a processing artifact from a computing device. The processing artifact defines the stateful feature, including the data source to retrieve event data from, when to retrieve the event data, the type of transform to apply, etc. Based on the processing artifact, the feature management system generates a processing job (e.g., the API defines a pipeline), which when initiated generates a vector that encapsulates the stateful feature. The vector is transmitted to the computing device that locally hosts a model, which generates a prediction that is transmitted to the feature management platform. Subsequently, the predication and stateful feature can be transmitted to other computing devices.

Abstract: A method, apparatus, and system for internet protocol (IP) warming is described. Some systems may send large volumes of communication messages from a single IP address. If the IP address does not have a strong sender reputation, these emails may be sent to spam folders or blocked, and the IP address may be blacklisted. To build a strong sender reputation, a user may implement an IP warming plan for the IP address. To support automated IP warming, an application may identify a target number of communication messages to transmit from the IP address, retrieve communication information for a target set of devices, generate, for the IP address, a set of transmission thresholds corresponding to a set of time durations for transmitting communication messages based on the target number of communication messages and the communication information, and transmit a set of communication messages based on the set of transmission thresholds.

Abstract: An electronic apparatus and a method for controlling the electronic apparatus are disclosed. The method includes: obtaining a neural network model trained to detect an object corresponding to at least one class; obtaining a user command for detecting a first object corresponding to a first class; and based on the first object not corresponding to the at least one class, obtaining a new neural network model based on the neural network model and information of the first object.

Abstract: Some aspects of the present disclosure are directed to computerized methods for extracting attributes from product titles. The method may include: retrieving first product identifier comprising at least one tag; determining, based on the at least one tag, a number of quantity related tags; flagging the product identifier as having a quantity based on an analysis of the quantity related tags; comparing the at least one tag and quantity of the first product identifier with at least one tag and quantity associated with a second product identifier; generating, based on the comparison, at least one similarity value between the first product identifier and the second product identifier; and transmitting instructions to at least one user device, wherein the instructions cause the at least one user device to display the at least one similarity value.

Abstract: Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for integrating user-specific context indicators into a searchable enterprise platform. In one embodiment, an apparatus is configured to apply a learned user profile, to a set of search results to obtain a user-specific, ranked arrangement of search results. The learned user profile may be developed through the application of a machine learning and/or trained model to a set of user behaviors that have been determined or otherwise detected within an enterprise platform, such that the user-specific context in which a user's search arises can be modeled and applied to retrieved digital content items associated with a search query within the enterprise platform.

Abstract: Disclosed are an apparatus and method for configuring spatial information required to visualize a space represented based on a hierarchical structure having a plurality of levels each of which includes one or more tiles, configuring spatial information. The method includes checking tile visibility of each level according to whether a tile exists in the corresponding level; grouping one or more levels in which tile visibility is consistently maintained into one or more groups; and assigning a tile visibility index to each group.

Abstract: A display control device acquires event data, that is, data expressed as a set of fixed units of data, and uses the acquired event data to display an image of the event data visualized according to a predetermined visualization method. Additionally, in the case of receiving an operation of attaching an electronic label to the displayed image, the display control device stores information about the electronic label, the event data, and setting information related to the image when the electronic label was attached in association with each other in storage. Also, in the case of receiving the specification of an electronic label to be restored from among the electronic labels, the display control device acquires the data of the electronic label as well as the event data and setting information associated with the electronic label from the storage, and restores the image with the electronic label attached.

Abstract: A real time fish movement and location guide system and method provides an output to an angler of a real time adjusted active fish depth range based upon a set of environmental conditions. Input data relating to the environmental conditions is received from the angler through a user interface and from Internet sources. In some embodiments, the input data is also used to provide outputs indicating weather fronts that will affect movement and location, and to provide lure recommendations and notifications that a change in lure is appropriate in view of changing conditions.

Abstract: Systems and methods develop a natural language interface. Conversational data including user utterances is received for a plurality of conversations from a natural language interface. Each of the conversations is classified to determine intents for each user utterance, and for each of the conversations, a control flow diagram showing the intents and sequential flow of the conversation is generated. Each of the control flow diagrams is processed to generate a graph embedding representative of the conversation. A previous conversation that is similar to the current conversation is identified from a previous graph embedding that is nearest to a current graph embedding of a most recent utterance in a current conversation. A previous outcome of the previous conversation is used to predict an outcome of the current conversation, which, when not positive, may control response outputs of the natural language interface to steer the current conversation towards a positive result.

Abstract: A method is executed at a computer system to retrieve data from a database. Upon receiving a database query, a database engine of the computer system parses the query to form an operator tree including a plurality of join operators. For one of the plurality of clauses, the database engine adds to the operator tree a respective node that specifies a mark join operator, a single join operator, an inner join operator, or an outer join operator. Specifically, the database engine adds the mark join operator when the clause includes one of a predetermined set of predicate subqueries, and adds the single join operator when the clause includes a scalar subquery. The database engine performs one or more optimization passes on the operator tree to form an optimized execution plan, and executes the optimized execution plan to retrieve a result set from the database.

Abstract: Embodiments of the present disclosure describe systems, methods, and computer program products for redacting sensitive data within a database. An example method can include examining a first column of a plurality of columns of a database to identify a first category of sensitive data in a first location of the first column and a second category of sensitive data in a second location of the first column, receiving a masking policy for the first column, the masking policy identifying the first category of sensitive data, and, in response to a data query accessing the first column, executing a redaction operation to redact the first category of sensitive data from the first location of the first column to generate redacted data for a response to the data query.

Abstract: A data intake and query system executes a search query at a first execution time for querying events having associated time stamps within a first time period characterized by a first start time and a first end time. The first start time is computed based upon a time indicated by reference time information stored prior to execution of the search query. The system determines whether execution of the search query completed successfully based upon a first search result obtained from executing the search query. If the first execution of the search query was not successful, the system computes for a second execution of the search query after the first execution, a second time period using the reference time information. The second execution is configured to query events with associated timestamps that fall within a second time period that includes the first time period and an additional time period.

Abstract: Methods, non-transitory computer readable media, and storage management devices that ingest artifacts from applications. The artifacts are stored on storage tiers using storage providers each configured to interface with one of the storage tiers. Metadata for each of the artifacts is generated and stored in a metadata store. The metadata includes a unique identifier for each of the artifacts associated with a storage location for each of the artifacts on the storage tiers. Configurable expressions of a storage policy are periodically and automatically applied to the metadata to determine when one or more of the artifacts should be migrated. The one or more of the artifacts are migrated from a first storage tier to a second storage tier using first and second storage providers configured to interface with the first and second storage tiers, respectively, when the determination indicates that the one or more of the artifacts should be migrated.

Abstract: A building system of a building including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to manage a plurality of entitlements for a plurality of subscriptions of one or more buildings with a building entitlement model, receive a first request to perform a first operation for a first subscription and a second request to perform a second operation for a second subscription, and implement the first operation on first computing resources of a first zone based on the building entitlement model in response to a first determination that the first subscription has the first entitlement and implement the second operation on second computing resources of the second zone based on the building entitlement model in response to a second determination that the second subscription has the second entitlement.

Abstract: Embodiments of the invention provide systems and methods to implement an object memory fabric. Object memory modules may include object storage storing memory objects, memory object meta-data, and a memory module object directory. Each memory object and/or memory object portion may be created natively within the object memory module and may be a managed at a memory layer. The memory module object directory may index all memory objects and/or portions within the object memory module. A hierarchy of object routers may communicatively couple the object memory modules. Each object router may maintain an object cache state for the memory objects and/or portions contained in object memory modules below the object router in the hierarchy. The hierarchy, based on the object cache state, may behave in aggregate as a single object directory communicatively coupled to all object memory modules and to process requests based on the object cache state.

Abstract: A computer implemented method and system for generating a data collection process for a user device. The method comprises: selecting a service provider from a portal server, at the third-party server, receiving an instruction to begin a data collection process for a user; receiving static data from the user device; determining a set of data to be collected from the user; generating code for a first data collection module based on the set of data to be collected from the user; providing the code for generating the first data collection module to the user device; receiving confirmation that a user of the user device has provided the information required by the first data collection module to the service provider server, and determining if the user has provided the set of data to be collected.

Abstract: In some examples, dark web content analysis and identification may include ascertaining data that includes text and images, and analyzing the data by performing deep learning based text and image processing to extract text embedded in the images, and deep embedded clustering to generate clusters. Clusters that are to be monitored may be ascertained from the generated clusters. A determination may be made as to whether the ascertained data is sufficient for classification. If so, a deep convolutional generative adversarial networks (DCGAN) based detector may be utilized to analyze further data with respect to the ascertained clusters, and alternatively, a convolutional neural network (CNN) based detector may be utilized to analyze the further data with respect to the ascertained clusters. Based on the analysis of the further data, an operation associated with a website related to the further data may be controlled.

Abstract: Many types of data files can only be stored in SQL databases as Blobs—Binary Large Objects, that the database can only handle as a whole. This limits searches within the Blob. Here improved methods are taught for automatically analyzing potential Blob files, and assigning at least certain classes of potential Blob files to General Data Type documents. In some cases, the potential Blob may be automatically analyzed and mapped to a JSON document type, and this JSON document type then automatically mapped into appropriate lists of JSON-document-nodes and tables that can be stored in the SQL database, and subsequently queried. This enables much data within the (to prior art) Blob to be queried at more detailed granularity. This data can then be retrieved and used to reconstruct some or all of the original General Data Type document, which would otherwise be a Blob to prior art methods.

Abstract: A computer-implemented method for managing access to data stored in a database is provided. The method includes storing in the database a switch parameter having a first value, storing in the database at least two instances of a data object wherein each of the instances includes a unique identifier, receiving a client query from a requestor, determining by the computing device an active instance from the at least two instances based at least in part on comparing the first value of the switch parameter to the unique identifier of each instance, modifying by the computing device the client query at least in part based on the determined active instance to create a resultant query, executing the resultant query against the active instance to generate a resultant data, and providing the resultant data to the requestor.

Abstract: A method and apparatus for remotely updating firmware in batches, and a computer-readable storage medium. Wherein the method is applied to a DHCP server connected with a Baseboard Management Controllers (BMC) of each server node. The DHCP server assigns IP addresses to each server node in advance, and records a BMC MAC address of each server node at the same time. When detecting that a firmware version to be matched stored in itself is updated, authorized server nodes and corresponding BMC IP addresses are determined on the basis of each BMC MAC address and authorization state. The firmware version of the corresponding authorized server nodes is read according to the BMC IP address of each authorized server, and a plurality of servers to be upgraded is determined by comparing the firmware version of each authorized server node with the firmware version to be matched.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for automatically augmenting message exchange threads based on a detected tone of messages exchanged between participants. In various implementations, a message contributed to a message exchange thread involving one or more message exchange clients by a participant may be determined. In various implementations, an idle chatter score associated with the message may be calculated. In various implementations, either a conversational response to the message or content responsive to a search query generated based on the message may be selectively incorporated into the message exchange thread based at least in part on the idle chatter score. In some implementations, a search query suitability score associated with the message may also be calculated.

Abstract: A method and system is disclosed that permits users of an online gaming platform to communicate via voice with other user in the online gaming platform.

Abstract: A method that may include training a student ODNN to mimic a teacher ODNN. The training may include calculating a teacher student detection loss that is based on a pre-bounding-box output of the teacher ODNN. The pre-bounding-box output of the teacher ODNN is a function of pre-bounding-box outputs of different ODNNs that belong to the teacher ODNN. The method may also include detecting one or more objects in an image, by feeding the image to the trained student ODNN; outputting by the trained student ODNN a student pre-bounding-box output; and calculating one or more bounding boxes based on the student pre-bounding-box output.

Abstract: An example operation may include one or more of: receive a first set of annotation information, determine a first approval decision for the first set of annotation information, record the first approval decision in a blockchain, retrieve a first set of approval decisions from the blockchain, generate a consensus based on the first set of approval decisions, and record the consensus in the blockchain.

Abstract: Disclosed herein are techniques related to automated generation of regular expressions. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence.

Abstract: Various of the disclosed embodiments concern systems and methods for applying legal analytics. In some embodiments, a legal analytics platform retrieves legal data from an electronic database, analyzes some or all of the legal data, and identifies interesting patterns and results of statistical analyses. In order to permit searching of the legal data, metadata elements or tags can be generated for legal entities and legal events. In some embodiments, the legal analytics platform identifies timestamps in the legal data and performs time-based statistical analysis. Results of the statistical analyses can be presented to a user via a graphical user interface (GUI), which may also allow the user to interact with the legal analytics platform and search one or more databases of legal data.

Abstract: Disclosed herein are systems and methods for population of online forms based on semantic and context search. In an embodiment, a system receives a query associated with a user. The system uses a first portion of text elements in the query to select a semantic ontology and to determine a requested output type of semantic object. The system identifies semantic objects of the requested output type in a data store. The system uses a second portion of the text elements in the query to identify contextual information associated with the requested output type, and uses the contextual information to retrieve knowledge-graph data associated with the user. The system filters the identified semantic objects based on the knowledge-graph data, and presents the results. The system receives a selection of a presented result, and enters the retrieved knowledge-graph data according to the selected semantic ontology into an associated fillable online form.

Abstract: A method and apparatus for estimating the cardinality of graph pattern queries using graph statistics and metadata is presented. In various embodiments, node and edge labels are used to compute estimates for graph patterns (bi-grams) and the estimates for these patterns as composed to provide cardinality estimates of longer paths. The computation of bi-grams is low cost and requires only minimal changes to the existing query planner in the existing database machinery to be useful. The resulting estimates are used during query execution to minimize the amount of work needed to complete a query and return a faithful and accurate answer to the user. The apparatus includes modules containing computer-executable instructions to perform the above method.

Abstract: Provided is a service graph generation apparatus 10 for generating a service graph expressing a dependency relationship between components constituting a monitoring target service 50. The service graph generation apparatus 10 includes an acquisition unit 11 that acquires trace data including spans recording a parent-child relationship and time data of processing of components in a series of processing in a service, an analysis unit 13 that compares, for every piece of the trace data, time data between spans of the components having the same parent to estimate an order relationship or an exclusive relationship between the components, and a creation unit 14 that creates a service graph expressing all components formed of the monitoring target service 50, and the parent-child relationship, the order relationship, and the exclusive relationship between the components.

Abstract: Systems and methods for managing, generating, and reporting real estate data from a plurality of source databases that are distributed over a computer network are disclosed and described.

Abstract: Controlling access to nodes in a relational graph at query time by using an approximate membership query (AMQ) filter and ordered queries based on historic grants or denials of access according to security context enables a more efficient querying of the relational graph while preserving access controls. Security contexts that grant or deny access to a node are stored in an associated AMQ filter and are queried according to the subject's security context in an order based on the frequency at which the security contexts have previously granted or denied access to nodes in the relational graph.

Abstract: A computer-implemented method is disclosed for providing an interface to prioritize classification rules for an unclassified input. A set of classification rules for input queries are stored as a plurality of records, each record comprising a plurality of values, each value being associated with an attribute from a plurality of attributes ordered by priority from most important to least important, at least one record comprising a value consisting of a wildcard operator, and each record representing a classification rule that applies to an input query if and only if each value of the plurality of values is matched by a corresponding value for a same associated attribute in the input query. A GUI enables setting the ordering of the plurality of attributes; receiving an input query; and based on the ordering, automatically determining and outputting a unique best match among all classification rules that satisfy the input query.

Abstract: An interactive recommendation system is provided. The system comprises an information generation module configured to: provide a set of information contents for outputting in an information interface, wherein each of the set of information contents is associated with an information item; receive a selection of one of the set of information contents that signals the user's interest or disinterest in an information item; determine, based on a model and history data related to prior activities of the user including a plurality of selections from the set of information contents, one or more information items to be included in recommendation information for the user; provide the recommendation information for outputting in a recommendation information interface; and update, based on the history data, the set of information contents for outputting in the information interface.

Abstract: The disclosure describes a cryogenic device with a display device for displaying one of a plurality of user-interfaces associated with a plurality of cryogenic device states. The cryogenic device is configured to: generate an initial user-interface for display on the display device; determine that the cryogenic device is in a first state; generate, in response to determining that the cryogenic device is in the first state, instructions for rendering a first user-interface, wherein the first user-interface is associated with the first state; and cause the display device to display the first user-interface. In this way, the cryogenic device may have a dynamic user interface that is configured to response to states of the cryogenic device.

Abstract: Methods, systems, and media for providing a media search engine are provided.