Abstract: Embodiments of the present disclosure relate to a general image prior based on Langevin diffusion. An original representation (image, 3D model, audio) is optimized to resemble a data distribution learned by a trained diffusion model. The original representation may be incomplete and is completed by the optimization process. In an embodiment, the diffusion model may be trained to use an additional conditioning input, such as a text prompt. The diffusion model receives a noisy latent as input and generates a denoised output, such as an image. Generally, the diffusion model samples the learned data distribution to produce the output. The conditioning input provides additional constraint that causes the output to be “nudged” towards the learned data distribution. An example synthesis problem is to generate a panorama image that is much larger compared with images used to train the diffusion model.

Abstract: A stackable, embeddable capacitor has one or more first type vertical capacitor elements, each of which has a top cathode, a bottom anode, and a first orientation central capacitance region between the top cathode and the bottom anode. The capacitor also has one or more second type vertical capacitor elements, each of which has a bottom cathode, a top anode, and a second orientation central capacitance region between the bottom cathode and the top anode. The second type vertical capacitor elements are alternatingly stacked on the first type vertical capacitor elements.

Abstract: A household sprayer may include a liquid reservoir configured to store a liquid and a nozzle connected to the liquid reservoir, wherein the nozzle is configured to spray liquid. A household sprayer may include a nozzle actuator connected to the nozzle, wherein the nozzle actuator is configured to control the spray profile of liquid exiting the nozzle, and a pump connected to the nozzle and the liquid reservoir, wherein the pump is configured to cause liquid to flow from the liquid reservoir to the nozzle. A household sprayer may include a battery electrically connected to the pump, wherein the battery is configured to provide power to the pump. A household sprayer may include an outer housing enclosing the liquid reservoir, the pump, and the battery and a sensor disposed beneath the outer housing, wherein activating the sensor causes the pump to activate, thereby causing liquid to spray from the nozzle.

Abstract: A hinge connectable between a first device part and a second device part includes a base seat unit and a rotating unit. The base seat unit includes first and second base seat for connecting with the first and second device parts. A base plate of the first base seat is formed with a moving slot having a first slot portion and a second slot portion. The rotating unit includes a rotating axle movably extending through the moving slot and rotated with the second base seat, a linkage pivotally connected between the base plate and the rotating axle, and a cam piece rotated with the rotating axle. During rotation of the rotating axle and the cam piece with the second base seat, a first protrusion of the cam piece is moved along a lower edge of the first slot portion to bring the rotating axle into an upward movement.

Abstract: A hinge connectable between a first device part and a second device part includes a base seat unit and a rotating unit. The base seat unit includes first and second base seats for connecting with the first and second device parts, respectively. A first base plate of the first base seat is formed with a moving slot having a first slot portion and a second slot portion. The rotating unit includes a rotating axle movably extending through the moving slot and rotated with the second base seat, and a cam piece rotated with the rotating axle. During rotation of the rotating axle and the cam piece with the second base seat, a first protrusion of the cam piece is moved along a lower edge of the first slot portion to bring the rotating axle into upward movement.

Abstract: An integrated passive device (IPD) comprises a first and second stacked capacitors, each including a conductive substrate having a front side and a back side, a front dielectric layer on the front side of the conductive substrate, a back dielectric layer on the back side of the conductive substrate, a front conductive polymer layer on the front dielectric layer, and a back conductive polymer layer on the back dielectric layer. The IPD may comprise a first metal contact electrically connected to one or both of the conductive substrates of the first and second capacitors and a second metal contact electrically isolated from the first metal contact and electrically connected to the front and back conductive polymer layers of the first and second capacitors. The IPD may comprise a passthrough electrical connection between front and back outer surfaces of the IPD.

Abstract: This disclosure includes a description of a sanitizing system for sanitizing a mobile electronic device comprising: a housing; a sanitizer contained within the housing configured to emit radiation with a sanitizing effect; and an entry system with a default closed position, the entry system being configured to permit a mobile electronic device to pass through the entry system and then automatically return to the default closed position, the entry system comprising a first outer enclosure and a second inner obstruction; wherein the entry system blocks radiation emitted within the sanitizing system to a level acceptable for consumer use, or wherein the second inner obstruction provides more radiation attenuation than the first outer enclosure, and/or wherein the combination of the first outer enclosure and the second inner obstruction provides more radiation attenuation than the first outer enclosure by itself. Disclosed are internal reflectors to help distribute sanitizing radiation generally evenly.

Abstract: A media detection system receives a video corresponding to a fixed field of view. The media detection system may receive user input indicating one or more object types to identify or a subset of the video within which to identify objects. The media detection system applies one or more machine-learned classifiers to frames of the video and creates a summary video that includes the background of the video and identified instances for simultaneous playback within the fixed field of view. The media detection system may also identify instances of objects in a live video stream and use the identified instances to respond to user questions. The media detection system applies a language model to questions to identify the subject matter of the questions, identifies content within the live video stream associated with the subject matter, and uses the identified content to respond to the user's question.

Abstract: A media detection system receives a video corresponding to a fixed field of view. The media detection system may receive user input indicating one or more object types to identify or a subset of the video within which to identify objects. The media detection system applies one or more machine-learned classifiers to frames of the video and creates a summary video that includes the background of the video and identified instances for simultaneous playback within the fixed field of view. The media detection system may also identify instances of objects in a live video stream and use the identified instances to respond to user questions. The media detection system applies a language model to questions to identify the subject matter of the questions, identifies content within the live video stream associated with the subject matter, and uses the identified content to respond to the user's question.

Abstract: A media detection system receives a video corresponding to a fixed field of view. The media detection system may receive user input indicating one or more object types to identify or a subset of the video within which to identify objects. The media detection system applies one or more machine-learned classifiers to frames of the video and creates a summary video that includes the background of the video and identified instances for simultaneous playback within the fixed field of view. The media detection system may also identify instances of objects in a live video stream and use the identified instances to respond to user questions. The media detection system applies a language model to questions to identify the subject matter of the questions, identifies content within the live video stream associated with the subject matter, and uses the identified content to respond to the user's question.

Abstract: A media detection system receives a video corresponding to a fixed field of view. The media detection system may receive user input indicating one or more object types to identify or a subset of the video within which to identify objects. The media detection system applies one or more machine-learned classifiers to frames of the video and creates a summary video that includes the background of the video and identified instances for simultaneous playback within the fixed field of view. The media detection system may also identify instances of objects in a live video stream and use the identified instances to respond to user questions. The media detection system applies a language model to questions to identify the subject matter of the questions, identifies content within the live video stream associated with the subject matter, and uses the identified content to respond to the user's question.

Abstract: An integrated passive device has a device core of a first metal material and defined by a first side and a second side. Conducting polymer layers are disposed on each of the first side and the second side, and a pattern of one or more direct recesses to the device core are defined in the conducting polymer layers. Bonding material layers are on at least selected areas of the device core that are generally coextensive with the pattern of one or more direct recesses in the conducting polymer layers. First conductive structures of a second metal material different from the first metal material extend from the first side and the second side of the device core. Each of the conductive structures are bonded to a respective one of the bonding material layers. An insulating dielectric encapsulates at least the device core and the conducting polymer layers.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems comprise an integrated detection unit configured to record media content, identify preferred content, and communicate the identifications of preferred content for storage in a computationally efficient manner.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems comprise an integrated detection unit configured to record media content, identify preferred content, and communicate the identifications of preferred content for storage in a computationally efficient manner.

Abstract: This disclosure includes a description of a sanitizing system for sanitizing a mobile electronic device comprising: a housing; a sanitizer contained within the housing configured to emit radiation with a sanitizing effect; and an entry system with a default closed position, the entry system being configured to permit a mobile electronic device to pass through the entry system and then automatically return to the default closed position, the entry system comprising a first outer enclosure and a second inner obstruction; wherein the entry system blocks radiation emitted within the sanitizing system to a level acceptable for consumer use, or wherein the second inner obstruction provides more radiation attenuation than the first outer enclosure, and/or wherein the combination of the first outer enclosure and the second inner obstruction provides more radiation attenuation than the first outer enclosure by itself. Disclosed are internal reflectors to help distribute sanitizing radiation generally evenly.

Abstract: The present disclosure relates to a mirror assembly having a housing, a first mirror, a second mirror, a light source, and a sensor assembly. The first mirror can be positioned within an opening of the housing. The front surface of the second mirror can be coupled to a rear surface of the first mirror. The light source can be disposed on or at least partially around the first mirror. The sensor assembly can be positioned between a rear surface of the second mirror and the housing. The sensor assembly can include a transmitter positioned behind the rear surface of the second mirror and a receiver positioned behind the rear surface of the second mirror. The light source can be activated when the sensor assembly detects a user's presence.

Abstract: A method and system for performing novel image synthesis using generative networks are provided. The encoder-based model is trained to infer a 3D representation of an input image. A feature image is then generated using volume rendering techniques in accordance with the 3D representation. The feature image is then concatenated with a noisy image and processed by a denoiser network to predict an output image from a novel viewpoint that is consistent with the input image. The denoiser network can be a modified Noise Conditional Score Network (NCSN). In some embodiments, multiple input images or keyframes can be provided as input, and a different 3D representation is generated for each input image. The feature image is then generated, during volume rendering, by sampling each of the 3D representations and applying a mean-pooling operation to generate an aggregate feature image.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems comprise an integrated detection unit configured to record media content, identify preferred content, and communicate the identifications of preferred content for storage in a computationally efficient manner.

Abstract: This disclosure includes a description of a sanitizing system for sanitizing a mobile electronic device comprising: a housing; a sanitizer contained within the housing configured to emit radiation with a sanitizing effect; and an entry system with a default closed position, the entry system being configured to permit a mobile electronic device to pass through the entry system and then automatically return to the default closed position, the entry system comprising a first outer enclosure and a second inner obstruction; wherein the entry system blocks radiation emitted within the sanitizing system to a level acceptable for consumer use, or wherein the second inner obstruction provides more radiation attenuation than the first outer enclosure, and/or wherein the combination of the first outer enclosure and the second inner obstruction provides more radiation attenuation than the first outer enclosure by itself. Disclosed are internal reflectors to help distribute sanitizing radiation generally evenly.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems comprise an integrated detection unit configured to record media content, identify preferred content, and communicate the identifications of preferred content for storage in a computationally efficient manner.