Abstract: A contact lens for application to a human eyeball capable of emitting ultrasonic pressure waves from a plurality of piezoelectric transducers to mitigate the effects of airborne eye irritants and infectious microorganisms. The piezoelectric transducers converts mechanical energy applied upon the contact lens from the eyelid as the eyelid blinks and/or winks into electrical energy to be used for emitting ultrasonic pressure waves from the piezoelectric transducers. The ultrasonic pressure waves destroy airborne microorganisms near the contact lens. A photodiode onboard the contact lens indicates when the eyelid is not closed in order to limit or prevent emission of ultrasonic pressure waves from the piezoelectric transducers while the eyelid is closed. An antenna onboard the contact lens receives information from augmented reality glasses or other computing devices.

Abstract: Systems and methods for coordinating point of interest pickups in a transportation service are provided. In example embodiments, the system detects a location of a device of a user. Responsive to detecting the location of the device of the user, the system automatically determines one or more potential pickup points based on the detected location. A pickup point user interface (UI) that displays one or more potential pickup points based on the detected location is presented on the device of the user without displaying a map. The system receives confirmation of a pickup point from the one or more potential pickup points and receives an indication of a destination. The system then establishes the transportation service based on the confirmed pickup point and the destination. The system can provide user interfaces that display progress of a driver to the pickup point and progress to the destination without displaying a map.

Abstract: A processor may receive user data associated with a voice conversation having one or more participating users. The processor may analyze the user data for voice content associated with the voice conversation and the one or more participating users. The processor may determine a security policy associated with the voice conversation. The processor may identify one or more permission rules from the security policy associated with the voice conversation. The processor may dynamically execute the one or more permission rules to a portion of the voice content associated with at least one participating user. Dynamically executing the one or more permission rules may include modifying the portion of the voice content.

Abstract: Embodiments disclosed herein include a dynamic load simulator. In an embodiment, the dynamic load simulator comprises an impedance load, a reverse match network, and a smart RF controller. In an embodiment, the smart RF controller comprises a dynamic load generator, and a reverse match controller.

Abstract: In one aspect, the application provides an electrical system including a conductor, a ground, an arrester electrically connected to the conductor, and a disconnector assembly electrically connected between the arrester and the ground. The disconnector assembly includes an isolator configured to perform an operating function in response to the occurrence of an event and a housing configured to surround the isolator. The isolator includes a first terminal electrically connected to the arrester by a first wire and a second terminal electrically connected to the ground by a second wire. The housing includes a first opening through which the first terminal extends, a second opening through which the second terminal extends, and a retention mechanism configured to hold the isolator in place relative to the arrester.

Abstract: Disclosed herein is technology for performing predictive modeling to identify inputs for a manufacturing process. An example method may include receiving expected output data for a manufacturing process, wherein the expected output data defines an attribute of an output of the manufacturing process; accessing a plurality of machine learning models that model the manufacturing process; determining, using a first machine learning model, input data for the manufacturing process based on the expected output data for the manufacturing process, wherein the input data comprises a value for a first input and a value for a second input; combining the input data determined using the first machine learning model with input data determined using the second machine learning model to produce a set of inputs for the manufacturing process, wherein the set of inputs comprises candidate values for the first input and candidate values for the second input.

Abstract: Systems, methods and/or computer program products personalizing user interactions with virtual agents of applications and/or services, using audio/visual components customized to appeal to user preferences. Upon initial interaction with virtual agents, AI ranking algorithms are triggered to adopt the highest ranked persona for the virtual agent based on previous positive interactions with the user, learned preferences, the user's state inferred from facial expressions, body language, tone. Personas can emulate voice signatures of popular characters, actors, celebrities and sports figures, and access a corpus of dialogue of the available personas to learn unique speech patterns, slang, tone, grammar, speed, and vocabulary.

Abstract: Some embodiments of the invention provide a method for cloning a set of one or more applications implemented by a first set of machines connected through a first logical network that defines a virtual private cloud in a set of one or more datacenters. The method instantiates a cloned, second set of machines that is a replicated copy of the first set of machines. The method identifies a set of network configuration data that configures a set of logical forwarding elements (LFEs) of the first logical network. The method uses the identified set of network configuration data to define a cloned, second logical network to connect the cloned, second set of machines.

Abstract: Embodiments disclosed herein include a method for use with a semiconductor processing tool. In an embodiment, the method comprises configuring the semiconductor processing tool, running a benchmark test on the semiconductor processing tool, providing hardware operating window (HOW) analytics, generating a design of experiment (DoE) using the HOW analytics, implementing process optimization, and releasing an iteration of the process recipe. In an embodiment, the method further comprises margin testing the iteration of the process recipe.

Abstract: Methods and devices for machine vision-based selection of content are described. One or more hands are detected in a current frame of video data. A respective fingertip location is determined for each of up to two of the detected hands. A content selection gesture is determined corresponding to the up to two detected hands. Selected content is extracted, as indicated by the content selection gesture and based on the up to two fingertip locations. The device may be a smartphone, a tablet, a laptop, a smart light device, a reader device, etc.

Abstract: Disclosed herein are radio frequency (RF) front-end structures, as well as related methods and devices. In some embodiments, an RF front-end package may include an RF package substrate including an embedded passive circuit element. At least a portion of the embedded passive circuit element may be included in a metal layer of the RF package substrate. The RF package substrate may also include a ground plane in the metal layer.

Abstract: A curable green epoxy resin composition is described. More particularly, the curable green epoxy resin composition includes a biobinder isolated from bio-oil produced from animal waste, such as from swine manure. The biobinder can act as a curing agent for an epoxy resin component in the resin composition. Cured green epoxy resins, prepregs containing the curable green epoxy resin, and related composite materials are described. In addition, methods of preparing the curable green epoxy resin composition and of curing the curable green epoxy resin.

Abstract: A computer system may obtain reference ticket data for reference tickets of an online system, with the reference ticket data indicating a reference issue for a reference component and a reference solution, and also obtain learning content items from a learning management system. The computer system may then create a mapping between the reference issues indicated by the reference ticket data for the reference tickets and the learning content items using an unsupervised machine learning algorithm. The computer system may detect target ticket data that has been provided by a user to the online system via a computing device, with the target ticket data indicating a target issue for a target component, identify a target solution for the target issue based on the target ticket data using the mapping, and cause a recommendation of the target solution to be displayed on the computing device.

Abstract: Generating, using a computer, a digital twin model or simulation for organ transplant or organ repairs where organ data of an organ for a patient is received at a computer. Organ parts are identified based on organ data, and the organ parts include a retained portion of the organ and a replacement portion of the organ. A digital model is generated as a digital twin simulations of the organ parts based on the received organ data. Parameters for the organ parts is determined, which include dimensions of the retained portion of the organ and dimensions of the replacement portion of the organ.

Abstract: A virtual machine container file is analyzed to determine which portion of the virtual machine container file corresponds to a virtual machine file system metadata of the virtual machine container file. One or more differences between a first version of a virtual machine container file and a second version of the virtual machine container file are determined at least in part by traversing a snapshot structure associated with the virtual machine container file. The determined one or more differences that corresponds to the virtual machine file system metadata portion of the virtual machine container file are identified based at least in part on the analysis of the virtual machine container file.

Abstract: The present disclosure relates to xyloglucanase variants. The present invention also relates to polynucleotides encoding the variants; nucleic acid constructs, vectors, and host cells comprising the polynucleotides; and methods of using the variants.

Abstract: Embodiments are disclosed for privacy enhancement (PE) beacon frames. A PE station (STA) can receive a PE beacon frame comprising a media access control (MAC) header that includes a first random identifier (ID) and a first checksum ID, determine that configured beacon parameters are satisfied, and then receive the PE beacon frame. When the first random ID and the first checksum ID correspond to an affiliated PE access point (AP) of a PE AP multilink device (MLD), to identify the PE AP MLD the PE STA can determine a checksum value using a AP MLD ID of the PE AP MLD and the first random ID, and based on a comparison of the determined checksum value with the first checksum ID, identify the PE AP MLD. In some embodiments, a location of a change sequence number adjacent to the MAC header enables early termination of the PE beacon frame reception.

Abstract: A system for assessment of digital assets is disclosed. The system includes a digital asset data collection module to collect information corresponding to data parameters associated with the digital assets from several source data points. The system includes a digital asset data maintenance module to store the information collected by the digital asset data collection module into a blockchain. The digital asset data maintenance module updates the information stored in the blockchain dynamically using learning-based data upgradation techniques and external sources. The system includes a data assessment module to assess the information stored in the blockchain to obtain a plurality of research products. The data assessment module generates a machine assessment score based on the information assessed. The system includes a digital asset score generation module to generate an aggregated score by receiving the machine assessment score generated by the data assessment module and user assessment scores.

Abstract: A method includes receiving, by a processing device, first data from an optical sensor of a processing chamber. The method further includes processing the first data to obtain second data. The second data includes an indication of a condition of a coating on an interior surface of the processing chamber. The method further includes generating an indication of performance of a processing operation of the processing chamber in view of the second data. The method further includes causing performance of a corrective action in view of the indication of performance of the processing chamber.

Abstract: A method includes receiving, by a processing device, first sensor data indicating a state of a wall corresponding to a first processing chamber. The first sensor data includes optical spectral data. The method further includes determining, by the processing device, a first value based on the first sensor data. The first value corresponds to a first amount of a product disposed along a surface of the wall at a first time. The method further includes determining, by the processing device, a first update to a first process operation associated with the first processing chamber based on the first value. The method further includes performing, by the processing device, one or more of (i) preparing a notification indicating the first update for presentation on a graphical user interface (GUI), or (ii) causing performance of the first process operation in accordance with the first update.