Abstract: A computer-implemented method includes receiving information expressing a user's interest in one or more media programs, obtaining information indicative of popularity for a plurality of media programs responsive to the received information by individuals other than the user, and transmitting one or more recommendations of media programs for display to the user, from the plurality of media programs that relate to the received information.

Abstract: The invention relates to the soybean variety designated 01091702. Provided by the invention are the seeds, plants and derivatives of the soybean variety 01091702. Also provided by the invention are tissue cultures of the soybean variety 01091702 and the plants regenerated therefrom. Still further provided by the invention are methods for producing soybean plants by crossing the soybean variety 01091702 with itself or another soybean variety and plants produced by such methods.

Abstract: A method and system for transforming an input image via a plurality of image transformation stylizers includes receiving the input image; providing the input image, information about the plurality of image transformation stylizers and at least one of user data, history data, and contextual data to a trained machine-learning (ML) model for selecting a subset of the plurality of image transformation stylizers; receiving as an output from the ML model the subset of image transformation stylizers; executing the subset of the image transformation stylizers on the input image to generate a plurality of transformed output images; ranking the plurality of transformed output images based on at least one of the input image, the user data, the history data, and the contextual data; and providing the ranked plurality of transformed output images for display.

Abstract: A vehicle suspension pre-load management system is disclosed. At least one suspension component, such as a motorcycle shock absorber, has an expandable chamber that with increased volume of a nearly incompressible fluid increases the suspensions pre-load. In one embodiment the system utilizes a controller, a pressure sensor, a pump, and a number of solenoids in a manifold block to allow a user to set a desired pre-load level. In another embodiment the controller monitors the pressure of the chamber and maintains a desired pre-load setting. In yet another embodiment, the controller identifies a hard braking event such that would cause a brake dive and increases the pre-load to counter act the dive.

Abstract: A fiber optic cable terminal proximally terminates a stub cable carrying one or more optical fibers. The stub cable is structurally adapted to be advanced through at least a portion of a conduit by distally pushing a distal end of the stub cable from a location that is proximal to a proximal end of the conduit and without applying any pulling force at any location that is distal to the proximal end of the conduit.

Abstract: A first data link and a second data link are established between two endpoints. For each of the first and second data links, a first metric is determined based on a first scaling factor for characterizing how quickly link health degrades over time, and a time at which a most recent packet was received on the respective data link. A second metric indicative is determined based on a second scaling factor for controlling how often to probe the first and second data links in addition to regular traffic. Based on the first and second metrics, one of the first or second data links is selected for sending a data packet.

Abstract: Methods and systems are disclosed herein for using machine learning to send notifications. A computer system may receive a message and may determine a sentiment level and/or an urgency level associated with the message. The computer system may use the sentiment level and/or urgency level to predict when the user will respond to the message. The computer system may compare the predicted response time with one or more thresholds to determine a time to send a notification for the message to the user device.

Abstract: An essential oil diffuser including multiple diffuser channels. Each diffuser channel includes an air pump and a cartridge assembly. The cartridge assemblies are removable receivable within a chassis assembly of the diffuser.

Abstract: A three-dimensional (3D) metal object manufacturing apparatus is equipped with a movable directed energy source to melt hardened metal drops and form an oxidation layer. A metal support structure can be formed over the oxidation layer, an object feature can be formed over the oxidation layer, or both a metal support structure and an object feature can be formed over oxidation layers located at opposite sides of a metal support structure. The oxidation layers weakly attach the metal support structure to the object feature supported by the metal support structure so the support structure can be easily removed after manufacture of the object is complete.

Abstract: A system and method for monitoring a motor of a vehicle system monitor operating conditions of the vehicle system and determine whether the operating conditions of the vehicle system match designated operating conditions. Responsive to determining that the operating conditions of the vehicle system that are monitored match the designated operating conditions, an electrical signature representative of an electric current supplied to the motor of the vehicle system is examined and damage to one or more of the motor of the vehicle system or a mechanical coupling of the motor to one or more of a wheel or axle of the vehicle system is identified based on the electrical signature that is examined.

Abstract: A vehicle is provided that includes a vehicle body defining a cabin interior and comprising a front row of seats and a rear row of seats, a plurality of seats located within the cabin interior, and a monitoring system for detecting and monitoring a pet or passenger within the cabin interior. The vehicle also includes a movable center console positioned between a pair of the forward row of seats and forward of the rear row of seats and comprising a holder for holding a drink container, and a controller processing signals generated by the monitoring system and determining a location of the detected pet or passenger on the rear row of seats based on the processed signals, the controller further controlling the movable console between a forward first position and a rearward second position closer to the rear row of seats.

Abstract: The disclosure generally pertains to systems and methods for identifying a location of an occupant in a vehicle. In an example method, a processor deconvolves a vocal utterance by an occupant of a vehicle and also determines an angle of arrival of the vocal utterance. The location of the occupant in the vehicle is then identified by the processor based on evaluating the deconvolved vocal utterance and the angle of arrival of the vocal utterance. Deconvolving the vocal utterance can involve applying a cabin impulse response to the vocal utterance for eliminating undesirable effects that may be imposed upon the vocal utterance by acoustic characteristics of the cabin of the vehicle (echo, sound reflections, sound damping, reverberation etc.). In some applications, the processor may refer to a lookup table to estimate a location of the occupant in the vehicle.

Abstract: A tie system can include a concrete tie, a tie sleeve, and one or more tie sleeve connectors. The tie sleeve has a channel extending therethrough between first and second ends with openings at each end to provide access to the channel. The channel and openings are configured to have the concrete tie disposed partially within the channel with ends of the tie extending out of the openings. The tie sleeve connector has a generally T-shape formed by a first portion and a second portion. The first portion can be selectively inserted into and secured within the channel. The second portion extends from the first portion and is configured to be connected to another component such as an insulation panel.

Abstract: In some aspects, the techniques described herein relate to a system on a chip (SoC) including a first clock divider configured to: receive an oscillator signal at a first frequency; produce, based on the oscillator signal: a first clock signal at the first frequency; and a second clock signal at a second frequency, the second frequency being a division of the first frequency. The first clock divider can selectively provide the first clock signal or the second clock signal as a first output clock signal based on a scaling configuration signal. The first clock divider can produce a frequency indication signal indicating, in combination with the first output clock signal, a start of a new clock period of the second clock signal. The SoC can include a second clock divider configured to provide a second clock output signal based on the first output clock signal and the frequency indication signal.

Abstract: Methods, systems, and apparatuses are disclosed for server selected bitrate streaming. A server receives a request from a user device for data segments at a first bitrate. The server determines a second bitrate for transmission of the data segments to the user device. The server transmits the requested data segments at the determined second bitrate.

Abstract: Some embodiments provide a method for providing a resource to a particular virtual private cloud that is deployed in a set of datacenters that host multiple virtual private clouds. At a resource issuer, the method receives a resource request from a particular machine deployed in the particular virtual private cloud, the resource request including a first set of cloud-specific data. The method obtains a cloud identifier for the particular machine from a registry service of the particular virtual private cloud that interacts with a datacenter-set cloud service that deploys machines in the datacenter set for different virtual private clouds. The method uses the obtained cloud identifier to obtain a second set of cloud-specific data for the particular machine from the datacenter-set cloud service. Upon determining that the first and second sets of cloud-specific data match, the method authenticates the particular machine and issues the resource for the particular machine.

Abstract: Some embodiments of the invention provide a new networking data path framework that employs one or more dedicated kernel threads to process network traffic on a host computer executing multiple machines (such as virtual machines or containers). This new framework is referred to as an Enhanced Networking Stack (ENS) in this document. In some embodiments, the dedicated kernel threads execute on dedicated CPU cores (e.g., one kernel thread per CPU core) to proactively poll physical NICs (PNICs) of the host computer and virtual NICs (VNICs) of the machines (e.g., VMs), and to perform packet processing operations on packets received by the host and packets transmitted by the machines. In some embodiments, each PNIC or VNIC is associated with one dedicated kernel thread, in order to avoid synchronization issues between the kernel threads.

Abstract: Systems and methods are introduced to enable cross-domain discovery. Systems and methods are also introduced to create representations of resources and information discovered from cross-domain discovery.

Abstract: A system and method of predicting a team's formation on a playing surface are disclosed herein. A computing system retrieves one or more sets of event data for a plurality of events. Each set of event data corresponds to a segment of the event. A deep neural network, such as a mixture density network, learns to predict an optimal permutation of players in each segment of the event based on the one or more sets of event data. The deep neural network learns a distribution of players for each segment based on the corresponding event data and optimal permutation of players. The computing system generates a fully trained prediction model based on the learning. The computing system receives target event data corresponding to a target event. The computing system generates, via the trained prediction model, an expected position of each player based on the target event data.

Abstract: This document discloses methods of training a classifier to identify traffic signal states in images captured be a vehicle. The vehicle can then use the identified states when making movement decisions when traveling in an environment. The system determines that a traffic signal is within a field of view of the camera (i.e., within an image). The system also receives a signal with signal phase and timing data for the traffic signal. The system processes the images to identify an image that includes the traffic signal. The system analyzes the signal data to determine a state of the traffic signal at the time of image capture, labels the image with a label of determined state, and passes the image and a label to a classifier in order to train the classifier.