Abstract: Techniques are disclosed relating to building an in-memory multi-level data structure useable to determine presence or absence of key ranges in files consisting of database records. In various embodiments, a computer system operates a database, including maintaining a set of records having a set of corresponding keys that are accessible in key-sorted order and generates a multi-level data structure that facilitates key range lookups against the set of records. The generating may include accessing ones of the set of keys in key-sorted order and determining, for a particular accessed key that includes a set of characters, an intermediate level within the multi-level data structure and a subset of the characters of the particular accessed key for insertion. The computer system may insert, starting at the intermediate level, information that identifies the subset of characters, with the inserting being performed without traversing any levels before the intermediate level.

Abstract: Systems and methods are described for utilizing an image processing system with at least one processing device to perform operations including receiving a plurality of input images of a user, generating a three-dimensional mesh proxy based on a first set of features extracted from the plurality of input images and a second set of features extracted from the plurality of input images. The method may further include generating a neural texture based on a three-dimensional mesh proxy and the plurality of input images, generating a representation of the user including at least a neural texture, and sampling at least one portion of the neural texture from the three-dimensional mesh proxy. In response to providing the at least one sampled portion to a neural renderer, the method may include receiving, from the neural renderer, a synthesized image of the user that is previously not captured by the image processing system.

Abstract: In order to provide effective diagnostics and logging of error messages produced during the execution of processes across multiple components, techniques are disclosed for the generating, managing, and processing centralized logs containing those error messages. In particular, the components may write error messages to a centralized log instead of writing the error messages to local log files. The various error messages in the centralized log can be read, identified, and organized. Furthermore, enrichments and/or analytics may be applied to the error messages based on information from a knowledge source or the application of one or more machine learning models. The organized error messages, enrichments, and analytics can be stored in an output log that can be easily retrieved and viewed through a graphical interface. The organized error messages, enrichments, and analytics work together to allow for more effective diagnosing of execution errors.

Abstract: A memory device comprising a memory array; and controller circuitry to apply a first pass voltage to a first plurality of unselected wordlines of the memory array during a string current sensing phase; and reduce the first pass voltage applied to the first plurality of unselected wordlines during a multistrobe sensing phase that follows the string current sensing phase.

Abstract: A circuit includes first and second transistors, an adaptive bias current source circuit, and an adaptive resistance circuit. The first transistor has a control terminal and first and second current terminals. The control terminal of the first transistor being a first input to the circuit. The second transistor has a control terminal and first and second current terminals, and the control terminal of the second transistor is a second input to the circuit. The first and second inputs are differential inputs to the circuit. The adaptive bias current source circuit is coupled to the second current terminal of the first transistor. The adaptive resistance circuit is coupled between the second current terminal of the second transistor and the adaptive bias current source circuit.

Abstract: A method and apparatus are provided for handling a data path creation in a quick user datagram protocol (UDP) Internet connection (QUIC) session in a wireless network system. The method includes receiving, by an electronic device, at least one request from at least one application for processing at least one object, determining at least one network condition based on the plurality of parameters associated with the electronic device, determining whether the at least one network condition meets a network criteria, and creating a number of data paths within the QUIC session based on the determination.

Abstract: Disclosed are various approaches for sharing uniform resource locators (URLs) and enforcing browser restrictions along with a shared URL. Browser restrictions can be identified by appending commands to the shared URL that instruct the receiving browser to activate certain browser restrictions. Browser restrictions can also be enforced using a URL restriction validator, which is a server process that can facilitate enforcement of browser restrictions along with a shared URL.

Abstract: An apparatus comprises a processing device configured to identify faults associated with a logical address space in a fault domain of a storage system, the faults specifying fault reason codes and metadata types for logical pages in the logical address space associated with the faults. The processing device is also configured to determine a fault summary characterizing impact of the faults in the fault domain of the storage system, the fault summary being based on aggregating fault scores assigned to the fault reason codes and the metadata types specified in the faults. The processing device is further configured to generate a recommendation on whether to initiate recovery of the fault domain of the storage system based on the fault summary, and to initiate recovery of the fault domain of the storage system based on the generated recommendation.

Abstract: Digital microfluidic (DMF) methods and apparatuses (including devices, systems, cartridges, DMF readers, etc.), and in particular DMF apparatuses and methods adapted for large volume. For example, described herein are methods and apparatuses for DMF using an air gap having a width of the gap that may be between 0.3 mm and 3 mm. Also described herein are DMF readers for use with a DMF cartridges, including those adapted for use with large air gap/large volume, although smaller volumes may be used as well.

Abstract: Disclosed are various approaches for profiling data that is copied by a user. Additionally, approaches for profiling an input field into which the data is being pasted are also disclosed. Should a mismatch between the data that is being copied and an input field be detected, a warning user interface element can be shown to the user before the data is pasted.

Abstract: A system and method for providing an online, real-time exercise buddy and trainer matching service is disclosed. The system includes a trainer mobile device, an exercise buddy a trainer's current location data to the web server, a trainer query processor for responding to an exercise buddy query for available trainers, and a trainer messenger for communicating with the exercise buddy mobile devices. The exercise buddy mobile device has an exercise buddy trainer locator for obtaining identities and locations of one or more trainers currently available, an exercise buddy query generator for generating a trainer profile query to one of the currently available trainers, and an exercise buddy messenger for communicating with one or more of the trainer messengers.

Abstract: An electronic device and method for texturing a three dimensional (3D) model are provided. The method includes rendering a texture atlas to obtain a first set of two dimensional (2D) images of the 3D model; rendering a ground truth texture atlas to obtain a second set of 2D images of the 3D model; comparing the first set of images with the second set of images to determine a rendering loss; applying the texture sampling properties to a convolutional neural network (CNN) to incorporate the rendering loss into a deep learning framework; and inputting a 2D texture atlas into the CNN to generate a texture of the 3D module.

Abstract: An automated speech recognition (ASR) model includes a first encoder, a second encoder, and a decoder. The first encoder receives, as input, a sequence of acoustic frames, and generates, at each of a plurality of output steps, a first higher order feature representation for a corresponding acoustic frame in the sequence of acoustic frames. The second encoder receives, as input, the first higher order feature representation generated by the first encoder at each of the plurality of output steps, and generates, at each of the plurality of output steps, a second higher order feature representation for a corresponding first higher order feature frame. The decoder receives, as input, the second higher order feature representation generated by the second encoder at each of the plurality of output steps, and generates, at each of the plurality of time steps, a first probability distribution over possible speech recognition hypotheses.

Abstract: A rotor blade for a wind turbine includes a first blade segment and a second blade segment extending in opposite directions from a chord-wise joint. Each of the first and second blade segments includes at least one shell member defining an airfoil surface. The rotor blade also includes one or more pin joints for connecting the first and second blade segments at the chord-wise joint. The pin joint(s) includes one or more pin joint tubes received within the pin joint slot(s). The pin joint slot(s) are secured within a bearing block. Further, a gap is defined between the pin joint slot(s) and the bearing block. Moreover, the rotor blade includes a shim within the gap between the pin joint slot(s) and the bearing block so as to retain the pin joint slot(s) within the bearing block. In addition, the shim is constructed of a liquid material that hardens after being poured into the gap.

Abstract: Systems and methods for embodiments of artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may support the correlation of identities determined authoritative source systems with uncorrelated accounts within an enterprise using artificial intelligence techniques.

Abstract: Methods and systems for controlling uplink (UL) transmission power of a user equipment (UE) electronic device includes determining, using the UE electronic device, that a maximum power availability for a transmission between the UE and a wireless network node is not appropriate to current conditions. Based on the determination that maximum power availability is not appropriate the UE electronic device sends a request to the wireless network node to reduce power for communication with the wireless network node. Based on the request, the UE electronic device communicates at a reduced power level for communications with the wireless network node.

Abstract: A non-invasive, transcutaneous, real-time viral detection device that is configured for self-administration, e.g., at a user's home. In one embodiment, and after positioning the device relative to the human body part (e.g., the user's finger), light sources in the device are activated (excited), and resulting data captured. In particular, a set of Raman spectra are collected from a configured set of emitters and detectors in the device and delivered to a nearby receiver, preferably wirelessly. The receiver filters and de-convolves the Raman spectra producing a data set representative of the constituent elements in the user's tissue of interest. The data set is applied against a statistical classifier, e.g., a neural network that has been trained to recognize and distinguish the absence or presence of viral components, e.g., C-19, or its associated blood-borne acute phase reactants.

Abstract: A processing device receives a first cluster management operation request, wherein the first cluster management operation request is for a deployment operation of a first cluster and comprises a cluster template, a specified number of nodes to deploy and a configuration. The processing device determines a plurality of constraints from at least one of the cluster template or the configuration. The processing device deterministically solves for and outputs a first cluster layout comprising the specified number of nodes, each of the specified number of nodes comprising a hardware type, an image type and one or more services, wherein the first cluster layout satisfies the plurality of constraints.

Abstract: Described are a system, method, and computer program product for secure, remote transaction authentication and settlement. The method includes receiving transaction data associated with a transaction to be completed between a merchant and a customer via a point-of-sale (POS) terminal. The method also includes generating a unique identifier for the transaction and sound data encoding the unique identifier. The method further includes storing the unique identifier in association with the transaction data and communicating the sound data to a merchant communication device to cause the sound wave to be produced at the POS terminal for receipt and decoding by a user communication device. The method further includes receiving, from the user communication device, the unique identifier and user payment authorization data. The method further includes corresponding the user payment authorization data with the transaction data and generating a transaction request to an acquirer processor.

Abstract: A material data collection system allows capturing of material data. For example, the material data collection system may include digital image data for materials. The material data collection system may ensure that captured digital image data is properly aligned, so that material data may be easily recalled for later use, while maintaining the proper alignment for the captured digital image. The material data collection system may include using a capture guide, to provide cues on how to orient a mobile device used with the material data collection system.