Abstract: A media client ascertains a plurality of matching points between (i) query fingerprints representing a media stream being received by the client and (ii) reference fingerprints, each identified matching point defining a respective match between a query fingerprint that is timestamped with client time defined according to a clock of the client and a reference fingerprint that is timestamped with true time defined according to a timeline within a known media stream. Further, the client performs linear regression based on the timestamps of the ascertained plurality of matching points, to establish a mapping between true time and client time. The client then uses the established mapping as a basis to determine a client-time point at which the client should perform an action with respect to media stream being received by the client. And the client performs the action at the determined client-time point.

Abstract: Some embodiments include a camera system having a first camera unit and a second camera unit. The first camera unit may include a first actuator. The second camera unit may include a second actuator. In some embodiments, the first actuator may move one or more components of the first camera unit to provide autofocus and/or optical image stabilization functionality to the first camera unit. In some embodiments, the second actuator may move one or more components of the second camera unit to provide autofocus and/or optical image stabilization functionality to the second camera unit. In some examples, the first camera unit may be configured to capture a first image of a first visual field. The second camera unit may be configured to capture, simultaneously with the first camera unit capturing the first image, a second image of a second visual field.

Abstract: A method used in forming a memory array comprising strings of memory cells comprises forming a stack comprising vertically-alternating first tiers and second tiers comprising memory-block regions having channel-material strings therein. Conductor-material contacts are directly against the channel material of individual of the channel-material strings. First insulator material is formed directly above the conductor-material contacts. The first insulator material comprises at least one of (a) and (b), where (a): silicon, nitrogen, and one or more of carbon, oxygen, boron, and phosphorus, and (b): silicon carbide. Second insulator material is formed directly above the first insulator material and the conductor-material contacts. The second insulator material is devoid of each of the (a) and (b). Third insulator material is formed directly above the second insulator material, the first insulator material, and the conductor-material contacts. The third insulator material comprises at least one of the (a) and (b).

Abstract: A turbomachine includes a spool; and a turbine section including a turbine and a turbine center frame. The turbine includes a first plurality of turbine rotor blades and a second plurality of turbine rotor blades alternatingly spaced along an axial direction and rotatable with one another. The turbomachine also includes a first support member, the first plurality of turbine rotor blades coupled to the spool through the first support member; a second support member, the second plurality of turbine rotor blades supported by the second support member; and a bearing assembly including a first bearing and a second bearing, the first bearing and the second bearing each rotatably supporting the second support member and each being supported by the turbine center frame.

Abstract: Methods, systems, and devices for using sensor statistics for player authentication are described. A device or system (e.g., a video game, an electronic sports (Esports) system, a gaming console, etc.) may utilize sensors to authenticate a player (e.g., a user) to an account during gameplay (e.g., in real-time during gameplay). Users may be authenticated by matching sensed gameplay attributes (e.g., indicators, reflex time, sensed patterns, eye motion, heart rate, tremors, frequency of operation, periodicity, spiky behavior, eye concentration, etc.) to the account. For example, collected sensor data may be compared to the account's history or past sensor data, or may be compared to similar ranked players' sensor data, for authentication. The device or system may further use additional data including robot (e.g., BOT) gameplay data, sensor data collected from other players of different (e.g., higher) rank, etc. to identify when collected sensor data may be associated with inauthentic gameplay.

Abstract: The blood-brain barrier (BBB) excludes most drugs and poses a significant challenge to treat brain diseases. Current methods for BBB opening yield modest outcomes in clinical applications due to safety and toxicity. This disclosure relates to methods of optically opening the BBB by laser excitation of tight-junction targeted nanoparticles to induce BBB transient opening. The excitation of plasmonic nanoparticles produces localized effects such as nanoscale heating and photomechanical force leading to BBB transiently opening to allow macromolecules across it. The safe and predictable platform for brain drug delivery will improve therapies for brain disease such as cancers, infections and neurologic disorders.

Abstract: A vehicle includes a prime mover and a fuel system. The fuel system includes a tank, a regulator, a first shutoff valve, and a second shutoff valve. The tank is configured to provide a supply flow of fuel. The regulator is controllable to provide a regulated flow of fuel to the prime mover by modulating the supply flow of fuel. The first shutoff valve is positioned to facilitate selectively disengaging the prime mover from the fuel system. The second shutoff valve is positioned to facilitate selectively blocking the supply flow of fuel provided by the tank.

Abstract: A method includes receiving time series source data that is associated with a source asset and that includes a set of classification labels. The method also includes receiving time series target data that is associated with a target asset and that lacks classification labels. The method further includes determining time series representations from the time series source data and the time series target data. The method also includes, based on the set of classification labels included in the time series source data and at least on raw time series data or the time series representations, generating a classifier operable to classify unlabeled data associated with the target asset. The raw time series data includes the time series source data and the time series target data.

Abstract: A computerized method for implementing an optimal supply chain configuration includes the step of implementing an optimal supply chain configuration for a business. The method includes the step of modelling costs for minimization in an optimal supply chain configuration. The method includes the step of modelling constraints in an optimal supply chain configuration. The method includes the step of, based on the modelled cost for minimization and the modelled constraints, optimizing a supply chain for the business.

Abstract: The invention provides a chromogenic ?-lactam molecule that retains its diagnostic color change response when modified for conjugation to another molecule.

Abstract: Various embodiments include a camera with folded optics and lens shifting capabilities. In some examples, a folded optics arrangement of the camera may include one or more lens elements and light path folding elements (e.g., prisms). Some embodiments include voice coil motor (VCM) actuator arrangements, carrier arrangements, and/or suspension arrangements to provide autofocus (AF) and/or optical image stabilization (OIS) movement. Furthermore, some embodiments include position sensor arrangements for position sensing with respect to AF and/or OIS movement.

Abstract: A method and system for dynamically watermarking media content based on transport-stream metadata, to facilitate action by a downstream entity. An intermediary in a media-distribution path could receive a transport stream carrying media content and carrying metadata that is not watermarked in the media content. The intermediary could then obtain from the transport stream the metadata that is not watermarked in the media content and could modify the media content at least by encoding into the media content a watermark that represents the obtained metadata. And the intermediary could then output at least the modified media content for transmission to a downstream entity. The downstream entity could thus obtain from the watermark in the media content the metadata and could use the metadata to facilitate carrying out one or more useful actions.

Abstract: Photonic processors are described. The photonic processors described herein are configured to perform matrix-matrix (e.g., matrix-vector) multiplication. Some embodiments relate to photonic processors arranged according to a dual-rail architecture, in which numeric values are encoded in the difference between a pair optical signals (e.g., in the difference between the powers of the optical signals). Relative to other architectures, these photonic processors exhibit increased immunity to noise. Some embodiments relate to photonic processors including modulatable detector-based multipliers. Modulatable detectors are detectors designed so that the photocurrent can be modulated according to an electrical control signal. Photonic processors designed using modulatable detector-based multipliers are significantly more compact than other types of photonic processors.

Abstract: Methods, systems, and devices for imprint recovery management for memory systems are described. In some cases, memory cells may become imprinted, which may refer to conditions where a cell becomes predisposed toward storing one logic state over another, resistant to being written to a different logic state, or both. Imprinted memory cells may be recovered using a recovery or repair process that may be initiated according to various conditions, detections, or inferences. In some examples, a system may be configured to perform imprint recovery operations that are scaled or selected according to a characterized severity of imprint, an operational mode, environmental conditions, and other factors. Imprint management techniques may increase the robustness, accuracy, or efficiency with which a memory system, or components thereof, can operate in the presence of conditions associated with memory cell imprinting.

Abstract: Methods, systems, and devices for using sensor statistics for player authentication are described. A device or system (e.g., a video game, an electronic sports (Esports) system, a gaming console, etc.) may utilize sensors to authenticate a player (e.g., a user) to an account during gameplay (e.g., in real-time during gameplay). Users may be authenticated by matching sensed gameplay attributes (e.g., indicators, reflex time, sensed patterns, eye motion, heart rate, tremors, frequency of operation, periodicity, spiky behavior, eye concentration, etc.) to the account. For example, collected sensor data may be compared to the account's history or past sensor data, or may be compared to similar ranked players' sensor data, for authentication. The device or system may further use additional data including robot (e.g., BOT) gameplay data, sensor data collected from other players of different (e.g., higher) rank, etc. to identify when collected sensor data may be associated with inauthentic gameplay.

Abstract: Embodiments of the present invention are directed to techniques for optimizing an execution mode used to process a request. A self-training storage system can determine one or more proposed execution modes based on a real-time evaluation of various factors, including a history of execution modes used to process historical requests. This history can serve as training data for a machine learning model that can predict an execution mode based on one or more request parameters. This predicted execution mode can be taken as one of a number of proposed execution modes that can be combined using a weightage system to automatically classify an ultimate execution mode used to process the request. Associated weights for combining proposed execution modes can be determined by training a machine learning model using a training set constructed based on a survey of user satisfaction with a determined execution mode.

Abstract: In one aspect, a method includes (i) accessing, by a computing system, broadcast-schedule data associated with a channel; (ii) using, by the computing system, the accessed broadcast-schedule data to identify an upcoming content-modification opportunity on the channel; (iii) determining, by the computing system, that a content-presentation device is receiving content on the channel; (iv) determining, by the computing system, a content-transmission delay associated with the content-presentation device and the channel; and (v) causing, by the computing system, the content-presentation device to perform an action to facilitate the content-presentation device performing, during a time-period that accounts for the determined content-transmission delay, a content-modification operation related to the identified upcoming content-modification opportunity on the channel.

Abstract: A method is described for determining the capacity of an electrical energy storage unit, which method comprises the steps: a) determining a first capacity value of the electrical energy storage unit using a first mathematical model based at least on an operating time and/or on a charging throughput of the electrical energy storage unit; b) determining a second capacity value of the electrical energy storage unit using a second mathematical model based at least on a second charging throughput value of the electrical energy storage unit and on a state-of-charge difference, which is obtained from the states of charge at two different time instants; c) obtaining a correction factor for determining a capacity value using the first mathematical model on the basis of the determined first capacity value and the determined second capacity value; d) determining a third capacity value of the electrical energy storage unit using the first mathematical model based at least on the obtained correction factor and on the o

Abstract: Performance and lifespan of batteries deteriorate with time due to various factors. Existing systems for battery management use different approaches for the battery management, and also rely on static value of parameters for State of Health (SOH) and Remaining Useful Life (RUL) estimation, thereby failing to consider current condition of the battery. The disclosure herein generally relates to battery management, and, more particularly, to a method and system for online battery management involving real-time estimation of State of Health (SOH) and Remaining Useful Life (RUL) of a battery, based on real-time data collected from the battery. The system determines state of the battery as one of charging, discharging, and rest. Further, corresponding to the determined state, the system determines values of one or more parameters, and processes the determined values with a battery performance model for online determination of the SOH and RUL.

Abstract: There is disclosed in one example an enrollment over secure transport (EST)-capable gateway device, including: a hardware platform including a processor and a memory; a first network interface to communicatively couple to an external network, including an external DNS server; a second network interface to communicatively couple to a home network; a caching DNS server including a local DNS cache, and logic to provide DNS services to the home network; and an EST proxy to authenticate to a local endpoint on the home network, provision a DNS server certificate on the local endpoint, provision an authentication domain name (ADN) on the local endpoint, and provide encrypted domain name system (DNS) services to the local endpoint.