Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement contextual key management for data encryption are disclosed. Example apparatus disclosed are to determine whether a key mapping is associated with a combination of two or more context rules defined for a set of context values associated with input data to be encrypted. Disclosed example apparatus are also to, in response to a determination that no key mapping is associated with the combination of two or more context rules, map a key identifier to the combination of two or more context rules and generate a key corresponding to the key identifier. Disclosed example apparatus are further to encrypt the input data based on the key to obtain encrypted data.

Abstract: A system for preventing ground fault in a three-phase electric transmission line system caused by a line break, includes: the transmission lines, a programmable relay protection system, including a plurality of existing low sensitivity (LS) relays and a corresponding set of high sensitivity (HS) relays in parallel with the is relays.

Abstract: In one embodiment, a method includes, by an operating system of a first artificial-reality device, receiving a notification that virtual objects are shared with the first artificial-reality device by a second artificial-reality device, where the virtual objects are shared by being placed inside a sender-side shared space anchored to a physical object. The method further includes the first artificial-reality device accessing descriptors of a physical object and a spatial-relationship definition between the physical object and a receiver-side shared space, detecting physical objects based on the descriptors, determining pose of the receiver-side shared space, detecting physical constraints within the receiver-side shares space, receiving display instructions for the virtual objects, and rendering the virtual objects on the first artificial-reality device in the receiver-side shared space.

Abstract: Methods and systems for determining a set of lowest corresponding price data related to a salable unit are disclosed herein. An example method includes receiving an input indicative of the salable unit, the input including a current date. The example method further includes generating a set of comparable salable unit data based on the input. Each respective comparable salable unit data in the set of comparable salable unit data includes a respective prior date within a date threshold from the current date. The example method further includes determining the set of lowest corresponding price data by applying an exclusion model to the set of comparable salable unit data, and transmitting a notification of the set of lowest corresponding price data for display to a user. The example method further includes storing the set of lowest corresponding price data into an historical transaction log.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing an input data element to generate a prediction output that characterizes the input data element. In one aspect, a method comprises: determining a respective attention weight between an input data element and each of a plurality of reference data elements; processing each of the reference data elements using the encoder neural network to generate a respective value embedding of each reference data element; determining a combined value embedding of the reference data elements based on (i) the respective value embedding of each reference data element, and (ii) the respective attention weight between the input data element and each reference data element; and processing the combined value embedding of the reference data elements using a prediction neural network to generate the prediction output that characterizes the input data element.

Abstract: In one embodiment, a set of feature vectors can be derived from any biometric data, and then using a deep neural network (“DNN”) on those one-way homomorphic encryptions (i.e., each biometrics' feature vector) an authentication system can determine matches or execute searches on encrypted data. Each biometrics' feature vector can then be stored and/or used in conjunction with respective classifications, for use in subsequent comparisons without fear of compromising the original biometric data. In various embodiments, the original biometric data is discarded responsive to generating the encrypted values. In another embodiment, the homomorphic encryption enables computations and comparisons on cypher text without decryption of the encrypted feature vectors. Security of such privacy enable biometrics can be increased by implementing an assurance factor (e.g., liveness) to establish a submitted biometric has not been spoofed or faked.

Abstract: A sensor device includes a sensor, which may include an acoustic wave resonator structure, having a surface to which analyte capture ligand is bound. The device also includes a crowding agent to reduce the rate of binding of an analyte in a sample composition to the analyte capture ligand when the sample composition is flowed across the surface of the sensor.

Abstract: An artificial intelligence system for generating zoological instruction sets from biological extractions. The system includes a computing device, configured to retrieve a biological extraction pertaining to an animal. The computing device is further configured to generate a zoological classifier wherein the zoological classifier utilizes a biological extraction as an input and outputs a zoological profile. The computing device is further configured to receive a zoological input from a remote device, wherein the zoological input identifies a zoological habit. The computing device is further configured to select a zoological machine-learning model utilizing a zoological input, wherein the zoological machine-learning model utilizes a zoological profile as an input and outputs a zoological instruction set. The computing device is further configured to calculate a zoological instruction set utilizing a zoological machine-learning model.

Abstract: In some embodiments, an optical communication system may include an optical source, a modulator, and a photoreceiver. The optical source may be configured to generate a beam comprising a series of light pulses each having a duration of less than 100 picoseconds. The photoreceiver may have a detection window duration of less than 1 nanosecond. When a first pulse travels through a variably refractive medium, photons in the first pulse may be refracted to travel along different ray paths to arrive at the photoreceiver according to a temporal distribution curve. A full width at half maximum (FWHM) value of the temporal distribution curve may be at least three times as large as a coherence time value of the first pulse, and the detection window of the photoreceiver may be at least six times as large as the FWHM value of the temporal distribution curve.

Abstract: Methods, systems, and computer readable media described herein can be operable to facilitate location determination, communications with an AFC system, configuring operational parameters in response to an identification of active 6 GHz paths, and timing distribution and low-latency services. Methods, systems, and computer readable media are described herein for implementing and improving use of automated frequency coordination (AFC), operational deployment of the 6 GHz band for unlicensed devices, and use of the 6 GHz band for low-latency services, timing distribution, and QoS.

Abstract: A method is provided for preparing at least one textured layer in an optoelectronic device. The method includes epitaxially growing a semiconductor layer of the optoelectronic device over a growth substrate; exposing the semiconductor layer to an etching process to create the at least one textured surface on the semiconductor layer; and lifting the optoelectronic device from the growth substrate.

Abstract: Methods and systems are provided for cooling hot spots on a body coil assembly of an MRI system. In one embodiment, an airflow guide of a body coil assembly of an MRI system comprises a first surface that forms an air passage when the airflow guide is positioned on the body coil assembly, the air passage enclosed by the first surface and a second, outer surface of an RF coil of the body coil assembly, the airflow guide configured to channel cool air generated by a fan to the second, outer surface of the RF coil. The airflow guide may be arranged circumferentially around a portion of the RF coil at one or more ends of the RF coil. The airflow guide may be manufactured as a plurality of airflow guide segments that are glued together.

Abstract: Various disclosed embodiments include illustrative systems, structures, and methods. In an illustrative embodiment, a system includes a power transmitter operably couplable to a source of electrical power and configured to wirelessly transmit electrical power and a power receiver alignable with the power transmitter on an opposing side of a non-conductive panel of a structure. The power receiver is configured to generate electrical power responsive to the electrical power wirelessly transmitted by the power transmitter.

Abstract: Systems and methods are provided for determining the quality of a civic address produced by a reverse geocoder, utilizing the uncertainty of a geodetic location and a distance between the geodetic location and a geocoded location (i.e., a civic address) determined by the reverse geocoder. Upon receiving a request by a PSAP for a civic address corresponding to a UE initiating a call for emergency services, a node initially identifies a geodetic location of the UE and an uncertainty of the geodetic location. The node initiates an API call to a reverse geocoder API. The node receives a geocoded location corresponding to the geodetic location and compares the geocoded location to the geodetic location to determine a distance between them. Based on the uncertainty of the geodetic location and the distance between the geodetic location and the geocoded location, a quality of the civic address is determined.

Abstract: Systems and methods for providing an advertisement marketplace where buyers and sellers can trade linear mediacast advertisement inventory programmatically at local, national, and/or worldwide levels. The marketplace system may include a seller-controlled marketplace system which connects sellers with buyers and offers revenue management tools for optimizing yields across direct and programmatic channels. The advertisement inventory is bought and sold as canonical inventory units which group similar but discrete advertisement slots together. The marketplace system may include a real-time bidding (RTB) adapter through which digital advertising buyers may place bids for such inventory units using standard protocols utilized in digital RTB systems.

Abstract: Drug delivery using bio-affecting drugs, particularly with shape changing drug delivery devices. Embodiments are included for depots for delivery of a therapeutic agent that change from an elongated state ex vivo to a coil in vivo where the agent is released.

Abstract: A virtual LiDAR sensor system fora motor vehicle includes a plurality of camera modules and algorithms that generate a depth image, a RGB image, and a segmentation information image. The system is implemented with an algorithm that associates the backscattered signals with information from a color-reflectivity table, incident angle determination and depth information.

Abstract: A lighting system for a ceiling grid system may provide lighting at a location below the ceiling grid system. The light fixture includes a light source and a support member, and the light fixture may provide diffusely reflected light to a ceiling grid opening. The light fixture may include a wall assembly that is adapted to be moved between a folded configuration and an unfolded configuration.

Abstract: In some embodiments, a computer system may buffer, in a local storage buffer, data to be stored at the cloud and upload the data to the cloud storage from the local storage buffer. Upon receipt of an acknowledgement, from the cloud storage, that the data was successfully uploaded, the computer system may delete the data from the local storage buffer. The computer system may provide a ghost file representation of the uploaded data through the computer system, through which the data uploaded to the cloud storage may be accessed. In some embodiments, the computer system may access multiple cloud storage accounts, each corresponding to a file folder on the computer system, allowing the user to easily access different cloud storage accounts. The computer system may recover data that was deleted from either local persistent storage or the cloud storage.

Abstract: Systems in accordance with embodiments of the invention can perform parallax detection and correction in images captured using array cameras. Due to the different viewpoints of the cameras, parallax results in variations in the position of objects within the captured images of the scene. Methods in accordance with embodiments of the invention provide an accurate account of the pixel disparity due to parallax between the different cameras in the array, so that appropriate scene-dependent geometric shifts can be applied to the pixels of the captured images when performing super-resolution processing. In a number of embodiments, generating depth estimates considers the similarity of pixels in multiple spectral channels. In certain embodiments, generating depth estimates involves generating a confidence map indicating the reliability of depth estimates.