Abstract: An example process includes at an electronic device with one or more processors and memory: while the electronic device is in a locked state and in communication with an external accessory device: receiving a natural language input; determining whether the natural language input corresponds to a secure task request; in accordance with a determination that the natural language input corresponds to a secure task request: determining whether one or more states of the external accessory device satisfy a set of authentication criteria; and in accordance with a determination that the one or more states of the external accessory device satisfy the set of authentication criteria: initiating, by the electronic device, a secure task corresponding to the natural language input; and providing an output indicative of the initiated secure task.

Abstract: Aspects described herein relate to transmitting a scheduling request (SR) for an uplink grant based at least in part on presence of data in a buffer, wherein the SR is scheduled for transmission according to a SR periodicity, and aborting, based at least in part on expiration of a discard timer corresponding to the buffer and/or the buffer being empty, at least a next SR that is scheduled for transmission according to the SR periodicity.

Abstract: A method provides deterministic row ordering for query result sets in a database system. A framework receives a query referencing a database table and generating a row index column in response. The framework generates the row index column that involves determining an order associated with source files underlying the referenced table and assigns each table row a unique index value based on the file order and row position within the files. The framework executes the received query to produce a result set ordered by the generated row index column. The framework determines row order based on analyzing underlying data file metadata and facilitates returning the result set with consistent, reliable ordering, enabling stable positional-based access semantics when querying distributed database tables.

Abstract: A user equipment (UE) is configured to perform a prewarming process, wherein the prewarming process includes concurrently performing a face detection process and an unlock process independent of face detection, determine whether a face detection operation indicates the presence of a face within a field of view of a camera of the UE and disable prewarming for a predetermined time period when the face detection operation is not satisfied.

Abstract: A method provides deterministic row ordering for query result sets in a database system. A framework receives a query referencing a database table and generating a row index column in response. The framework generates the row index column that involves determining an order associated with source files underlying the referenced table and assigns each table row a unique index value based on the file order and row position within the files. The framework executes the received query to produce a result set ordered by the generated row index column. The framework determines row order based on analyzing underlying data file metadata and facilitates returning the result set with consistent, reliable ordering, enabling stable positional-based access semantics when querying distributed database tables.

Abstract: Examples provide a method for performing dynamic pivot queries employing PANDA-compatible semantics inside a cloud data platform workload. A SQL engine receives a pivot query specifying a pivot column for dynamically determining pivot values in a dynamic pivot operation. The SQL engine identifies, in the pivot query, a keyword or a subquery indicating dynamic determination of the pivot values. Based on identifying the keyword or the subquery indicating the dynamic determination of the pivot values, the SQL engine determines distinct pivot values for the pivot column by evaluating the keyword or executing the subquery. The evaluating of the keyword includes issuing a query to a data store to obtain the distinct pivot values for the pivot column. The SQL engine performs the dynamic pivot operation using the distinct pivot values for the pivot column.

Abstract: A module of a processing system for flipping a substrate in vacuum includes a clamp assembly for securing the substrate, a first motor assembly coupled to the clamp assembly for rotating the clamp assembly, and a second motor assembly coupled to the first motor assembly for raising and lowering the first motor assembly and the clamp assembly.

Abstract: A method of leveraging improved conversational bots in a contact center system according to an embodiment includes performing knowledge distillation through machine learning to teach a student artificial intelligence model based on a teacher artificial intelligence model and reduce a size of an initial multilingual vocabulary, wherein the student artificial intelligence model includes fewer machine learning embedding layers than the teacher artificial intelligence model, removing tokens from the initial multilingual vocabulary based on a grouping of languages with linguistic similarities to reduce the size of the initial multilingual vocabulary, parsing user text from a human user into one or more tokens, identifying token indexes associated with the respective one or more tokens in a reduced multilingual vocabulary, determining embedding values associated with the identified token indexes, and generating a multilingual embedding output for the user text indicative of user intent based on the embedding values

Abstract: Provided herein are multispecific antibodies, that bind to CD79b and CD22, polynucleotides encoding them, vectors, host cells, methods of making and using them.

Abstract: A method implemented by a cloud-based system includes steps of, responsive to connecting to a user device with a user associated with a first tenant of a plurality of tenants, obtaining security policies for the user that are configured for the tenant, wherein the security policies for the user are the same regardless of connection type, location of the user, and device type and operating system of the user device; stream scanning traffic between the user device and the Internet based on the security policies, wherein the security policies are for firewall and intrusion prevention functions; and one of allowing and blocking the traffic based on the stream scanning.

Abstract: Disclosed is a system and associated methods for cryptographically verifying a user of a computing device at the bootloader level and before the loading of an operating system (OS). The cryptographic verification involves loading a boot authentication controller into a memory of the computing device upon powering on the computing device. The boot authentication controller restricts access to the computing device by preventing an OS from being loaded into the memory during the boot process. The boot authentication controller determines a level-of-access that a particular user has on the computing device from a received encoded value, customizes the OS with the level-of-access specified in the encoded value, and boots the computing system with a customized OS that provides the level-of-access.

Abstract: A method includes receiving instructions to perform order-dependent DataFrame operation on data. In response to receiving the instructions, the framework analyzes the instructions to identify the order-dependent DataFrame operation, and generates an executable query corresponding to the identified order-dependent DataFrame operation. The framework executes the generated executable query on the data stored in the first database in the cloud data platform, creates a row position column that generates for each row a unique integer identifier, reproducible across multiple sessions and/or queries for the same underlying data to make the data accessible via positional indexing, and assigns each row of the first database a unique row index value based on the row position column and the row position column order.

Abstract: A method, system, and non-transitory computer readable medium storing instructions executable by a computer processor, the instructions comprising functionality for determining remediation categories for a plurality of wells include: obtaining, by a computer processor, a plurality of attributions for the plurality of wells; obtaining, by the computer processor, a set of weightages for each of the plurality of attributes for the plurality of wells; generating, by the computer processor, a first Well Health Index (WHI) set for a well among the plurality of wells; generating, by the computer processor, a second WHI set for the well; determining, by the computer processor, a sum of weightages of the second WHI set for the well; determining, by the computer processor, a remediation category among a plurality of remediation categories for the well based on the sum of weightages; and generating, by the computer processor, tracking notifications and action reports for the well.

Abstract: The present disclosure provides sustained release compositions of (Z)-endoxifen and polymorphs and salts thereof and methods of making sustained release compositions of (Z)-endoxifen and polymorphs and salts thereof. The present disclosure also provides methods for treating disorders susceptible to (Z)-endoxifen, including hormone dependent disorders and mood disorders.

Abstract: Provided herein are multispecific antibodies, that bind to CD79b and CD22, polynucleotides encoding them, vectors, host cells, methods of making and using them.

Abstract: A method of leveraging a global confidence classifier for information retrieval in contact centers according to an embodiment includes receiving, by a computing system, a user query from a contact center client communication with a knowledge-only bot of the computing system, performing, by the computing system, feature extraction on the user query by converting query words of the user query into a numerical vector representation of the user query, identifying, by the computing system, a subset of documents most likely to be responsive to the user query, and re-ranking, by the computing system, the subset of documents most likely to be responsive to the user query based on a global confidence classifier model.

Abstract: A trained one-dimensional convolutional neural network (1D CNN) efficiently detects credentials that allow access to sensitive data across an organization. The 1D CNN has a lightweight architecture with one or more one-dimensional convolutional layers that capture semantic context of text data and a one-hot encoding embedding layer that takes unprocessed characters from documents as input. Lightweight architecture of the 1D CNN allows for high volume, fast detection of credentials for data loss prevention. The 1D CNN is trained on documents augmented with natural language processing techniques including token replacement, machine translation, token rearrangement, and text summarization.

Abstract: A method may include accessing digital characteristics associated with a user identifier, the digital characteristics including a task identifier assigned to the user identifier; encoding the digital characteristics into components of an input vector, the components of the input vector corresponding to inputs of a machine learning model; inputting the input vector into the machine learning model; executing the machine learning model; subsequent to the executing, accessing an output of the machine learning model, the output corresponding to a cluster identifier associated with a plurality of user identifiers with similar digital characteristics; and automatically transmitting a request to change a resource access right for the user identifier based on access rights associated with the cluster identifier.

Abstract: A named-entity recognition (NER) model detects named entities with types that correspond to protected health information (PHI) in potentially sensitive documents. The NER model is trained to detect named entities corresponding to both personally identifiable information (PII) and medical terms. Output of the NER model is preprocessed as input to a random forest classifier that outputs a verdict that documents comprise sensitive data. The verdict is interpretable via high confidence named entities detected by the NER model that led to the verdict.

Abstract: The present disclosure generally relates to methods and user interfaces for authentication, including providing and controlling authentication at a computer system using an external device in accordance with some embodiments.