Abstract: A method and system are provided for tracking and verifying cell populations that constitute a given cell lineage. By tracking the creation of cell populations along the cell lineage as a directed tree, it is possible to verify multiple cell populations using a single cell population. Similarly it is possible to detect potentially anomalous cell populations by performing a verification determination on a single cell population.

Abstract: A domain processing system is enhanced with a first-pass domain filter configured for loading character strings representing a pair of domains consisting of a seed domain and a candidate domain in a computer memory, computing a similarity score and a dynamic threshold for the pair of domains, determining whether the similarity score exceeds the dynamic threshold, and iterating the loading, the computing, and the determining for each of a plurality of candidate domains paired with the seed domain. A similarity score between the seed domain and the candidate domain and a corresponding dynamic threshold for the pair are computed. If the similarity score exceeds the corresponding dynamic threshold, the candidate domain is provided to a downstream computing facility. Otherwise, it is dropped. In this way, the first-pass domain filter can significantly reduce the number of domains that otherwise would need to be processed by the downstream computing facility.

Abstract: Systems, computer program products, and methods are described herein for tracking and tagging communication using electronic non-fungible resources within a distributed network. The present invention is configured to receive an indication of an entity-initiated communication to a user via a user input device; trigger a communication tracking and tagging engine; determine that the entity-initiated communication is associated with an ongoing unresolved issue; retrieve, from a distributed ledger, an NFT for the ongoing unresolved issue using the NFT identifier for the ongoing unresolved issue; transmit control signals configured to cause a resource transfer instrument associated with the user to display the description of the ongoing unresolved issue; receive, via the resource transfer instrument, a user input acknowledging the entity-initiated communication; and authorize the entity-initiated communication to the user via the user input device based on at least receiving the user input.

Abstract: Aspects of the application provide methods of identifying and sequencing proteins, polypeptides, and amino acids, and compositions useful for the same. In some aspects, the application provides methods of obtaining data during a degradation process of a polypeptide, and outputting a sequence representative of the polypeptide. In some aspects, the application provides amino acid recognition molecules comprising a shielding element that enhances photostability in polypeptide sequencing reactions.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can, in response to receiving performance data associated with records, identify whether the received performance data is associated with long transactions. Embodiments of the present invention can then, in response to determining that the received performance data is associated with long transactions, storing the performance data. Embodiments of the present invention can then classify the stored performance data according to types of transactions the performance data and aggregate the stored performance data based on the classification.

Abstract: In one embodiment, a method for auditing the results of a machine learning model includes: retrieving a set of state estimates for original time series data values from a database under audit; reversing the state estimation computation for each of the state estimates to produce reconstituted time series data values for each of the state estimates; retrieving the original time series data values from the database under audit; comparing the original time series data values pairwise with the reconstituted time series data values to determine whether the original time series and reconstituted time series match; and generating a signal that the database under audit (i) has not been modified where the original time series and reconstituted time series match, and (ii) has been modified where the original time series and reconstituted time series do not match.

Abstract: Embodiments of a contextualized visual search (CVS) system are disclosed capable of isolating target images of items that contain instances of a previously-unseen query image from a large database of target images. In embodiments, the system is used to implement an interactive query interface of an e-commerce portal, which allows the user to specify the query image (e.g. a logo) to be searched. The system converts the query image into a feature vector using a first machine learning model, and compares the feature vector to feature vectors of target images using a second machine learning model to find matching target images that contain an instance of the query image. The system then returns a query result indicating a list of items associated with matched target images. In embodiments, the query results may be ranked based on a set of personalized factors associated with the user.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for monitoring the status of a database prior to locking the database. In one aspect, the method comprises receiving a request to generate a mock database, accessing a set of database lock readiness metrics, wherein the set of database lock readiness metrics include one or more attribute values that each specify a value of an attribute of database data that must be satisfied for the database to be locked, correlating information that includes (i) the set of database lock readiness metrics and (ii) database data of the database, and generating a database lock readiness report structure, based on a mock database lock representing a snapshot of the database at a particular point in time, that indicates whether each of the one or more attribute values specified by the set of database lock readiness metrics have been satisfied.

Abstract: The present disclosure describes systems and methods for dialog processing and information retrieval. Embodiments of the present disclosure provide a dialog system (e.g., a task-oriented dialog system) with adaptive recurrent hopping and dual context encoding to receive and understand a natural language query from a user, manage dialog based on natural language conversation, and generate natural language responses. For example, a memory network can employ a memory recurrent neural net layer and a decision meta network (e.g., a subnet) to determine an adaptive number of memory hops for obtaining readouts from a knowledge base. Further, in some embodiments, a memory network uses a dual context encoder to encode information from original context and canonical context using parallel encoding layers.

Abstract: Disclosed herein is a method of limiting concurrent updates in a database, comprising adapting each of plurality of computing devices executing one or more applications capable of updating data in one or more databases accessible by a plurality of applications to execute a DB update limiter. The DP update limiter is configured for each update access of the one or more applications to the database(s), identify a DB segment identifier of a destination segment of the database targeted by the respective update access, check an access counter associated with the identified DB segment identifier which is indicative of a number of update accesses currently in progress to the destination segment, enable the respective update access responsive to determining that the access counter is smaller than a certain threshold, and prevent the respective update access responsive to determining that the access counter equals the certain threshold.

Abstract: The present invention relates to information technology and can be used for monitoring the behavior of a user during interaction with content in order to obtain relevant feedback from content consumers, inter alia, based on non-verbal signals. The technical result is that of simplifying the procedure for transmitting user behavior data from a user device to a server, and at the same time speeding up said procedure. The system comprises a server equipped with a database and a central unit for storing conditions of the occurrence of user behavioral events, and at least one user device equipped with a data collection unit, an event recognition unit, and a local unit for storing conditions of the occurrence of user behavioral events. The data collection unit is intended for the collection of primary data.

Abstract: In one embodiment, a method includes accessing an email inbox of a user and determining a set of emails received since a previous access. For each email in the set, the method includes determining whether the email is sent from a domain identified in a domain database; if not, then the method moves to the next email; if yes, then the method iteratively applies a set of email-subject off-ramp criteria to the email's subject. When an off-ramp criterion is met, then the method moves to the next email; if no email-subject off-ramp criterion is met, then the method iteratively applies a set of email-subject on-ramp criteria to the subject of the email. When any email-subject on-ramp criterion is met, then the method determines an order status of an order associated with the email and updates an order tracking database with an entry identifying the order status.

Abstract: Determining relative relationships of people who share a common ancestor within at least a threshold number of generations includes: receiving recombinable deoxyribonucleic acid (DNA) sequence information of a first user and recombinable DNA sequence information of a plurality of users; processing, using one or more computer processors, the recombinable DNA sequence information of the plurality of users in parallel; determining, based at least in part on a result of processing the recombinable DNA information of the plurality of users in parallel, a predicted degree of relationship between the first user and a user among the plurality of users, the predicted degree of relative relationship corresponding to a number of generations within which the first user and the second user share a common ancestor.

Abstract: An automatic memory system can automatically identify and present content items that match a user's natural language (NL) input. The automatic memory system can compute a match score between the NL input and each of multiple potential memory content items. The automatic memory system can compute the match score using a variety of algorithms and/or machine learning models such as an image/NL matching process to get a first match score, a tag matching process to get a second match score, and/or a combination match score from the first and second match scores. The automatic memory system can select one or more of the content items with the highest match score(s). The automatic memory system can provide the selected content items, such as by suggesting them to the NL providing user, automatically displaying or playing them, inserting them into the conversation thread, etc.

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

Abstract: A computer implemented method of creating a clustering model used for clustering a plurality of log messages comprising using one or more processors for receiving a plurality of training log messages, performing the following for each of the plurality of training log messages: calculating a string distance between a textual content of the respective training log message and a representative string pattern of each of the plurality of clusters, associating the respective training log message with a respective one of the plurality of clusters in case the string distance is within a predefined threshold and adding a new cluster to the plurality of clusters for associating respective training log message in case the string distance exceeds the predefined threshold, and outputting the clustering model.

Abstract: The technology disclosed relates to efficient tertiary analysis of genomic data. The technology disclosed includes splitting a genomic data file into a plurality of segments, and storing segments in the plurality of segments across nodes of a distributed storage system, pushing the segments from the nodes of the distributed storage system to nodes of a distributed, in-memory computing engine, distributing directives of tertiary analysis job contexts for the genomic data file across the nodes of the distributed, in-memory computing engine, directly executing the distributed directives on the segments stored on the nodes of the distributed, in-memory computing engine to cause parallel processing of the segments, and aggregating results of the parallel processing across the nodes of the distributed, in-memory computing engine to produce an output.

Abstract: Systems and methods are provided for exposing disparate storage systems and technologies to compute instances through a unified file system interface that is agnostic to the underlying storage systems and technologies. A file system namespace service may provide the ability to compose a file system from different storage technologies and systems (e.g., block storage, object storage, etc.). The file system namespace service may also provide the ability to layer different storage services (e.g., by treating local block storage volume as a write back cache, by treating a file system as a read-through cache in front of an object storage service, etc.), and/or the ability to bind virtual files to other compute instances and/or storage systems.

Abstract: An apparatus comprises a processing device configured to identify a cloud snapshot lineage that is being managed by first virtualization software running on a first storage system, the cloud snapshot lineage comprising one or more snapshots of at least one storage volume, the cloud snapshot lineage being stored on cloud storage of at least one cloud external to the first storage system. The processing device is also configured to pause management of the cloud snapshot lineage by the first virtualization software running on the first storage system, to obtain, from the first virtualization software running on the first storage system, configuration data for the cloud snapshot lineage, to provide, to second virtualization software running on a second storage system, the configuration data for the cloud snapshot lineage, and to resume management of the cloud snapshot lineage by the second virtualization software running on the second storage system.

Abstract: Solutions for enforcing both syntactic and semantic correctness of domain-specific data queries include: receiving a data query; constraining an operation of the data query to enforce semantic correctness, wherein enforcing semantic correctness comprises: determining semantic information associated with each of a plurality of data entities; based on at least the semantic information, determining whether combining the two data entities of the plurality of data entities is allowed or is not allowed; based on at least determining that combining the two data entities is allowed, permitting combining the two data entities in the data query; and based on at least determining that combining the two data entities is not allowed, preventing combining the two data entities in the data query; and executing the data query. Some examples further include basing the permission on (at least) an ontology between the semantic information of the two data entities and a set of axioms.