Abstract: An ATM is configured to interact with a mobile device and provide user access to one or more of the banking services available at the ATM using the mobile device. Banking-related information may be viewed and/or input at the ATM using the mobile device. The ATM may have multiple vertical levels of deposit slots, withdrawal trays and/or receipt dispensers. A level at the ATM at which the user interacts with the ATM for deposits, withdrawals, or receipts may be selected. The level may be specified by the user of the mobile device, at the ATM or using the mobile device, or may be determined by the ATM.

Abstract: An ATM is configured to interact with a mobile device and provide user access to one or more of the banking services available at the ATM using the mobile device. Banking-related information may be viewed and/or input at the ATM using the mobile device. The ATM may have multiple vertical levels of deposit slots, withdrawal trays and/or receipt dispensers. A level at the ATM at which the user interacts with the ATM for deposits, withdrawals, or receipts may be selected. The level may be specified by the user of the mobile device, at the ATM or using the mobile device, or may be determined by the ATM.

Abstract: The present disclosure provides methods for the acute treatment of migraine with or without aura, comprising the administration of ubrogepant. In particular, the present disclosure provides methods for the acute treatment of migraine in patients having hepatic impairment; in patients with renal impairment; and in patients concurrently taking CYP3A4 modulators or BCRP and/or P-gp only inhibitors.

Abstract: Embodiments herein relate to a module which can be inserted into or removed from a computing device by a user. The module includes an input-output port which is configured for a desired specification, such as USB-A, USB-C, Thunderbolt, DisplayPort or HDMI. The port can be provided on an expansion card such as an M.2 card for communicating with a host platform. The host platform can communicate with different types of modules in a standardized way so that complexity and costs are reduced. In another aspect, with a dual port module, the host platform can concurrently send/receive power through one port and send/receive data from the other port.

Abstract: A screen-less automated teller machine (ATM) may be configured to interact with a mobile device. The ATM may automatically detect the presence of the mobile device in a vicinity of the ATM and initiate contact with the mobile device, or a mobile device may initiate contact with the ATM. After verifying user permission to access the ATM, the mobile device may be enabled to provide user access to one or more of the banking services available at the ATM using the mobile device. As the ATM is screen-less, banking-related information may be viewed and/or input at the ATM using the mobile device. An application on the mobile device may be used to access and interact with the ATM using the mobile device.

Abstract: Disclosed herein are systems and methods that allow for secure access to websites and web-based applications and other resources available through the browser. Also described are systems and methods for invocation of a secure web container which may display data representative of a requesting party's application at a user's machine. The secure web container is invoked upon receipt of an API call from the requesting party. Thus, described in the present specification are systems and methods for constructing and destroying private, secure, browsing environments (a secure disposable web container), insulating the user and requesting parties from the threats associated with being online for the purposes of providing secure, policy-based interaction with a requesting party's online services.

Abstract: Methods for banking at an automated teller machine (ATM) using a mobile device. The ATM may automatically detect the presence of the mobile device in a vicinity of the ATM and initiate contact with the mobile device, or a mobile device may initiate contact with the ATM. After verifying user permission to access the ATM, the mobile device may be enabled to provide user access to one or more of the banking services available at the ATM using the mobile device and to view banking-related information on the mobile device. A mobile application on the mobile device may be used to access the ATM using the mobile device. While a mobile device is accessing the ATM, a screen on the ATM may become inactive for banking services and the option to select banking services directly at the ATM may be disabled.

Abstract: Pre-fix matching may constrain the generation of next token predictions. Input text to perform a next token prediction may be received. Multiple tokens may be determined from the input text, including a partial token. From possible tokens, one or more matching possible tokens with the partial token may be identified. Next token predictions may then be filtered using the identified possible tokens in order to ensure that the partial token is matched.

Abstract: Evaluation data sets may be programmatically generated for code generation models. An evaluation data set is obtained that includes items that correspond to different evaluation tests for a code generation system. The individual items of the evaluation data set maybe converted, including the conversion of a function signature for the items, the test statements for the items and using a code generation system to generate the body of the function.

Abstract: Random token segmentation may be implemented for next token prediction. Text data may be received for training a machine learning model to predict a next token given input text tokens. Multiple tokens may be determined from the text data. Different ones of the multiple token may be randomly segmented in to sub-tokens. The machine learning model may then be trained using the multiple tokens including the respective sub-tokens as a training data set.

Abstract: Code completion suggestions may be proactively obtained and validated. An event that triggers obtaining a code completion suggestion for inclusion in a code file being edited using an integrated development environment may be detected. The code completion suggestion may be obtained. The characters of the code completion suggestion may be compared with characters added to the code file after the detection of the event that triggered obtaining the code completion suggestion to determine whether the code completion suggestion is valid. A valid code completion suggestion may then be displayed.

Abstract: Interactive assistances for executing natural language queries to data sets may be performed. A natural language query may be received. Candidate entity linkages may be determined between an entity recognized in the natural language query and columns in data sets. The candidate linkages may be ranked according to confidence scores which may be evaluated to detect ambiguity for an entity linkage. Candidate entity linkages may be provided to a user via an interface to select an entity linkage to use as part of completing the natural language query.

Abstract: Query restatements may be provided for explaining natural language query results. A natural language query is received at a natural language query processing system. An intermediate representation of the natural language query is generated for executing the natural language query. The intermediate representation is translated into a natural language restatement of the natural language query. The natural language restatement is provided with a result of the natural language query via an interface of the natural language query processing system.

Abstract: Multiple stage filtering may be implemented for natural language query processing pipelines. Natural language queries may be received at a natural language query processing system and processed through a query language processing pipeline. The query language processing pipeline may filter candidate linkages for a natural language query before performing further filtering of the candidate linkages in the natural language query processing pipeline as part of generating an intermediate representation used to execute the natural language query.

Abstract: Multiple stage filtering may be implemented for natural language query processing pipelines. Natural language queries may be received at a natural language query processing system and processed through a query language processing pipeline. The query language processing pipeline may filter candidate linkages for a natural language query before performing further filtering of the candidate linkages in the natural language query processing pipeline as part of generating an intermediate representation used to execute the natural language query.

Abstract: Interactive assistances for executing natural language queries to data sets may be performed. A natural language query may be received. Candidate entity linkages may be determined between an entity recognized in the natural language query and columns in data sets. The candidate linkages may be ranked according to confidence scores which may be evaluated to detect ambiguity for an entity linkage. Candidate entity linkages may be provided to a user via an interface to select an entity linkage to use as part of completing the natural language query.

Abstract: Techniques for displaying a search are described. An exemplary method includes receiving a search query, performing the search query on a plurality of documents, the documents including text passages, to generate a search query result, determining an aspect of the search query result that has a confidence value that exceeds a first confidence threshold with respect to its relevance to the search query; and, displaying the search result including an emphasis on the aspect of the result exceeds the first confidence threshold.

Abstract: Multiple stage filtering may be implemented for natural language query processing pipelines. Natural language queries may be received at a natural language query processing system and processed through a query language processing pipeline. The query language processing pipeline may filter candidate linkages for a natural language query before performing further filtering of the candidate linkages in the natural language query processing pipeline as part of generating an intermediate representation used to execute the natural language query.

Abstract: Techniques for generation of synthetic queries from customer data for training of document querying machine learning (ML) models as a service are described. A service may receive one or more documents from a user, generate a set of question and answer pairs from the one or more documents from the user using a machine learning model trained to predict a question from an answer, and store the set of question and answer pairs generated from the one or more documents from the user. The question and answer pairs may be used to train another machine learning model, for example, a document ranking model, a passage ranking model, a question/answer model, or a frequently asked question (FAQ) model.

Abstract: Techniques for searching documents are described. An exemplary method includes receiving a document search query; querying at least one index based upon the document search query to identify matching data; fetching the identified matched data; determining one or more of a top ranked passage and top ranked documents from the set of documents based upon one or more invocations of one or more machine learning models based at least on the fetched identified matched data and the document search query; and returning one or more of the top ranked passage and the proper subset of documents.