Abstract: A game system operates by: receiving character attribute selection data to be associated with a game character, wherein the character attribute selection data indicates a unique subset of a set of character attributes of a character attribute database; generating, based on the character attribute selection data, display data associated with the game character; facilitating, based on the display data associated with the game character, generation of a player token NFT associated with the game character; and preventing use of the unique subset of character attributes of the character attribute database in generating other game characters.

Abstract: A modular architecture is provided for denoising Monte Carlo renderings using neural networks. The temporal approach extracts and combines feature representations from neighboring frames rather than building a temporal context using recurrent connections. A multiscale architecture includes separate single-frame or temporal denoising modules for individual scales, and one or more scale compositor neural networks configured to adaptively blend individual scales. An error-predicting module is configured to produce adaptive sampling maps for a renderer to achieve more uniform residual noise distribution. An asymmetric loss function may be used for training the neural networks, which can provide control over the variance-bias trade-off during denoising.

Abstract: An internal combustion engine includes an engine block, a blower housing configured to direct cooling air to the engine block, an electric starting system, and a crankshaft configured to rotate about a crankshaft axis. The electric starting system includes an electric motor and an energy storage device located within the blower housing. The energy storage device is electrically coupled to the electric motor to power the electric motor, and is positioned above the crankshaft. When the starter motor is activated, the electric starting system rotates the crankshaft to rotate the engine for starting.

Abstract: A modular architecture is provided for denoising Monte Carlo renderings using neural networks. The temporal approach extracts and combines feature representations from neighboring frames rather than building a temporal context using recurrent connections. A multiscale architecture includes separate single-frame or temporal denoising modules for individual scales, and one or more scale compositor neural networks configured to adaptively blend individual scales. An error-predicting module is configured to produce adaptive sampling maps for a renderer to achieve more uniform residual noise distribution. An asymmetric loss function may be used for training the neural networks, which can provide control over the variance-bias trade-off during denoising.

Abstract: An engine including an engine block having a cylinder defining a front of the engine, a blower housing coupled to the engine block and defining a hot half positioned adjacent the front of the engine and a cool half opposite the hot half, and an electric starter system positioned within the blower housing. The electric starting system includes a starter mount assembly coupled to the blower housing, an electric starter motor retained by the starter mount assembly and positioned in the cool half, and a battery mounted to the blower housing and positioned in the cool half. The battery is electrically coupled to the electric starter motor.

Abstract: One embodiment of the present invention sets forth a technique for performing frame interpolation. The technique includes generating (i) a first set of feature maps based on a first set of rendering features associated with a first key frame, (ii) a second set of feature maps based on a second set of rendering features associated with a second key frame, and (iii) a third set of feature maps based on a third set of rendering features associated with a target frame. The technique also includes applying one or more neural networks to the first, second, and third set of feature maps to generate a set of mappings from a first set of pixels in the first key frame to a second set of pixels in the target frame. The technique further includes generating the target frame based on the set of mappings.

Abstract: Embodiments of the present invention are directed to methods and systems for treating irrigation water by introducing a propagating electromagnetic field into the irrigation water as it flows through an irrigation system. The treatments described herein may have a variety of beneficial effects when applied to hydrophobic soils, including a significant increase in the percentage of the water that is maintained in the root zone of a given crop as plant-available water and the essential mineral, e.g. calcium and/or magnesium, uptake of that crop. The treatments described herein may also have beneficial effects when applied to hydrophilic soils, and particularly high salinity, hydrophilic soils, including a reduction in the soil salinity, including the amount of chlorates, within a root zone of a crop.

Abstract: A method of self-administration of growth factors, polypeptides and other therapeutic agents, derived from pluripotent stem cells, via a non-invasive application, and formulated and offered as a kit for reduced cost, improved storage, increased ease, and increased convenience of practitioner, partner, care assistant, or end-user administration.

Abstract: An engine including an engine block having a cylinder defining a front of the engine, a blower housing coupled to the engine block and defining a hot half and a cool half opposite the front half, a starter mount assembly coupled to the blower housing and positioned within the cool half, an electric starter motor retained by the starter mount assembly, and a battery mounted to the blower housing and positioned in the cool half. The battery is electrically coupled to the electric starter motor.

Abstract: Embodiments of the present invention are directed to methods and systems for treating irrigation water by introducing a propagating electromagnetic field into the irrigation water as it flows through an irrigation system. The treatments described herein may have a variety of beneficial effects on the water, including a significant increase in the percentage of the water that is maintained in the root zone of a given crop as plant-available water and the essential mineral, e.g. calcium and/or magnesium, uptake of that crop.

Abstract: A medical visualization platform including a base unit that includes a base unit connection mechanism, a processor, an electrical contact, a communication module, and a power source. A plurality of visualization attachments connect lo the base unit, and each visualization attachment is disposable and includes a visualization connection mechanism arranged to engage the base unit connection mechanism to provide movement of the connected visualization attachment relative to the base unit between a folded position and an engaged position. Each visualization attachment also includes attachment contacts that are in electrical communication with the electrical contact of the base unit while the visualization attachment is in the engaged position, and each of the visualization attachments includes either a video camera or a light source.

Abstract: An internal combustion engine includes an engine block, a blower housing configured to direct cooling air to the engine block, an electric starting system, and a crankshaft configured to rotate about a crankshaft axis. The electric starting system includes an electric motor and an energy storage device located within the blower housing. The energy storage device is electrically coupled to the electric motor to power the electric motor, and is positioned above the crankshaft. When the starter motor is activated, the electric starting system rotates the crankshaft to rotate the engine for starting.

Abstract: An engine including an engine block having a cylinder defining a front of the engine, a blower housing coupled to the engine block and defining a hot half and a cool half opposite the front half, a starter mount assembly coupled to the blower housing and positioned within the cool half, an electric starter motor retained by the starter mount assembly, and a battery mounted to the blower housing and positioned in the cool half. The battery is electrically coupled to the electric starter motor.

Abstract: An internal combustion engine includes an engine block, a blower housing configured to direct cooling air to the engine block, an electric starting system, and a crankshaft configured to rotate about a crankshaft axis. The electric starting system includes an electric motor and an energy storage device located within the blower housing. The energy storage device is electrically coupled to the electric motor to power the electric motor. When the starter motor is activated, the electric starting system rotates the crankshaft to rotate the engine for starting.

Abstract: A torque tube assembly includes a torque tube and a spline coupling coupled to an end of the torque tube. The spline coupling has an opening to receive a spline gear on a drive shaft of an aircraft high lift device. The torque tube assembly also includes a retainer coupled to the spline coupling. The retainer blocks at least a portion of the opening in the spline coupling to prevent the spline coupling from being moved off of the spline gear on the drive shaft.

Abstract: Supervised machine learning using neural networks is applied to denoising images rendered by MC path tracing. Specialization of neural networks may be achieved by using a modular design that allows reusing trained components in different networks and facilitates easy debugging and incremental building of complex structures. Specialization may also be achieved by using progressive neural networks. In some embodiments, training of a neural-network based denoiser may use importance sampling, where more challenging patches or patches including areas of particular interests within a training dataset are selected with higher probabilities than others. In some other embodiments, generative adversarial networks (GANs) may be used for training a machine-learning based denoiser as an alternative to using pre-defined loss functions.

Abstract: Embodiments of the present invention are directed to methods and systems for treating irrigation water by introducing a propagating electromagnetic field into the irrigation water as it flows through an irrigation system. The treatments described herein may have a variety of beneficial effects on the water, including a significant increase in the percentage of the water that is maintained in the root zone of a given crop as plant-available water and the essential mineral, e.g. calcium and/or magnesium, uptake of that crop.

Abstract: The present disclosure relates to using a neural network to efficiently denoise images that were generated by a ray tracer. The neural network can be trained using noisy images generated with noisy samples and corresponding denoised or high-sampled images (e.g., many random samples). An input feature to the neural network can include color from pixels of an image. Other input features to the neural network, which would not be known in normal image processing, can include shading normal, depth, albedo, and other characteristics available from a computer-generated scene. After the neural network is trained, a noisy image that the neural network has not seen before can have noise removed without needing manual intervention.