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

Abstract: Dynamic plan interpretation may be implemented to perform queries. A query is received at a database system. A plan to perform the query is generated. For at least a portion of the plan to perform the query, a domain-specific language may be applied to interpret and execute the portion of the plan to perform the query using one or more previously compiled executors instead of generating and compiling code to execute the portion of the plan. Returning a result of the query according to the execution of the plan.

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 hardware architecture for a universal testing system used for performing tests on cable modem devices (DUT) is disclosed. According to certain embodiments, a CMTS test harness enables the DUT to respond to test phone calls from the MOCA interface and which test phone calls terminate at the DUT's phone port.

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: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.

Abstract: Aspects described herein may relate to methods, systems, and apparatuses that determine one or more categories associated with a dataset, or a portion thereof. The determination may be performed based on one or more tags associated with the dataset and/or a description associated with the dataset. Further, the determination may be performed by searching an ontology based on the one or more tags and/or the description. The determination may be performed by using a machine-learning model based on the one or more tags and/or the description. Once the one or more categories associated with the dataset are determined, the one or more categories may be used as a basis for modifying the dataset and/or validating the dataset.

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.

Abstract: The technology described herein discloses a non-isolated multiport dc-dc converter with three input dc ports to integrate three different energy sources namely fuel cell, battery and ultracapacitor, and two dedicated output ports for traction load and auxiliary loads, respectively. The invented system is capable of providing high flexibility in power flow management among the three energy sources, corresponding to diverse dynamic load power events encountered in an EV. Besides, the system exhibits prominent features like simultaneous and bidirectional power transferring capability between the multiple dc ports and single stage power processing in every possible power flow scenarios. Furthermore, the technology embodies distinct operating modes depending upon the dynamic load power variations and state of voltage levels of the energy sources.

Abstract: A method for managing a boost time required for an application launch in an electronic device is provided. The method includes detecting, by the electronic device, a user input to launch the application. Further, the method includes measuring, by the electronic device, real-time system health parameters of the electronic device. Further, the method includes predicting, by the electronic device, an application launch time by inputting the real-time system health parameters to an AI-based application prediction model. Further, the method includes boosting, by the electronic device, at least one hardware of the electronic device based on the predicted application launch time.

Abstract: A method of fabricating an extended release subcutaneous medicinal dosage implant system which includes an implant fabricated from a highly homogeneously mixed composition including a medicinal agent in combination with release controlling polymers which include poly (DL-lactide) and polycaprolactone. In one implementation for treating an opioid disease, the formulation composition includes naltrexone at 40 weight percent, poly (DL-lactide) in the approximate range between 36 and 46.4 weight percent, and polycaprolactone in the approximate range between 24 and 11.6 weight percent. In addition, in order to provide anti-biofouling quality and prevent foreign body adsorption/interaction with the material of the implant, polyethylene glycol is added in a preferred content of 2.0%. The manufacturing process includes hot melt extrusion and a mini jet based implant formation stage with the optimized process space were the temperature of the process ranges from 170° C.-180° C.

Abstract: Apparatus and methods for improving film uniformity in a physical vapor deposition (PVD) process are provided herein. In some embodiments, a magnetron translation assembly comprises a first linear actuator assembly with a first rail which is aligned in a first direction and a first actuator that is configured to position a first mount along the first rail; a magnet assembly is mounted on the first mount, the magnet assembly constructed and arranged to be rotated about an axis perpendicular to the first rail; and a second linear actuator assembly comprising a second mount that is configured to be positioned along a second rail, which is aligned in a second direction and the first linear actuator assembly is coupled to a mounting surface of the second mount.

Abstract: Apparatus and methods for flipping substrates in vacuum between PVD sputtering of each side for increasing throughput are provided herein. In some embodiments disclosed herein, a module of a processing system for flipping a substrate in vacuum is provided. The module includes a clamp assembly for securing the substrate, a motor assembly coupled to the substrate clamp assembly, for rotating the clamp assembly, a lift pin assembly, and a lift pin actuator for raising and lowering the lift pin assembly.

Abstract: Aspects described herein may relate to methods, systems, and apparatuses that determine one or more categories associated with a dataset, or a portion thereof. The determination may be performed based on one or more tags associated with the dataset and/or a description associated with the dataset. Further, the determination may be performed by searching an ontology based on the one or more tags and/or the description. The determination may be performed by using a machine-learning model based on the one or more tags and/or the description. Once the one or more categories associated with the dataset are determined, the one or more categories may be used as a basis for modifying the dataset and/or validating the dataset.

Abstract: A method and system may be implemented for automatically analyzing data in a database. A method for use in a low-latency database analysis system may include generating a schema. The schema may be based on a portion of an external database. The method may include storing the schema in an in-memory database. The method may include receiving a data-query. The method may include generating a resolved-request. The resolved-request may be based on the data-query and the stored schema. The stored schema may be used for executing the query on the external database. The method may include receiving results data responsive to the data-query from the external database. The method may include outputting the results data for display on a user interface.

Abstract: Systems and methods include obtaining a profile for an application, wherein the profile includes one or more tenants, rules for use of the application by the one or more tenants, and users for the rules; monitoring a user of a tenant of the one or more tenants inline via a node in a cloud-based system; identifying an application of the one or more applications based on the monitoring and associated rules for the user; and enforcing the associated rules for the user for the application.

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: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining if a product in a refrigerated display case has likely spoiled. The method can include: obtaining, from one or more thermal cameras installed in a refrigerated case, multiple images of the inside of the refrigerated case; determining, based on the multiple images, a surface temperature of one or more products contained in the refrigerated case; determining that the surface temperature of at least one product violated a spoilage temperature for a period of time; and in response to determining that the surface temperature of at least one product violated a spoilage temperature for a period of time, providing, for display on a user computing system, a graphical interface indicating that the product is likely spoiled.