Abstract: Techniques for secure and efficient interfacing with a cloud computing service are described. In an embodiment, a cloud computing management service is programmed or configured to communicate with a cloud computing service. The cloud computing management service can be accessed by software engineers that are looking to deploy a software instance to a computing device of the cloud computing service. Thus, the cloud computing management service acts as an intermediary layer in front of the cloud computing service. In an embodiment, the cloud computing management service may store one or more frequently-used system parameters for deployment of software instances. The parameters conform to company's security protocols, compliance protocols, and/or other standards.

Abstract: The technology relates to a memory insertion apparatus for pushing memory modules into corresponding memory sockets on a circuit board. The memory insertion apparatus may include a frame and an actuation assembly coupled to the frame, and one or more cam assemblies each rotatably coupled to the frame and operatively coupled to the actuation assembly. Each cam assembly may include a central shaft extending in a longitudinal direction, and a plurality of cams each having a tip configured to engage one of the memory modules, the tip extending from the central shaft in a respective radial direction perpendicular to the longitudinal direction. A center of each cam may be offset from centers of adjacent ones of the cams by a pitch distance that is about equal to a pitch distance between centers of adjacent ones of the memory sockets.

Abstract: A user input system including a stylus and an electronic device. A user may manipulate the stylus across an input surface of the electronic device and the movement may be detected using axially-aligned electric fields generated by the stylus. The stylus may also include a force-sensitive structure that can be used to estimate a force applied to the electronic device by the stylus.

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.

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 and methods describe techniques that search videos and media content to determine the presence of unknown objects, generate novel detectors trained to identify the unknown objects, and apply the novel detectors to historical media content to identify previous appearances of the unknown objects.

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: Disclosed herein are polymer-based films (and articles of manufacture made therefrom or comprising thereof). In several embodiments, the film comprises biodegradable polymers. In several embodiments, the film comprises post-consumer recycled material. In several embodiments, the film comprises an odor absorbing agent (e.g., carbon). In several embodiments, an article of manufacture comprising a film as disclosed herein or the film itself is biodegradable.

Abstract: This disclosure includes a description of various embodiments of waste-receiving systems. In some embodiments, a waste-receiving system comprises at least one waste receptacle configured to be positioned inside of a cabinet, an electric drive system configured to transition the waste-receiving system from a retracted or closed position within a closed cabinet to an extended or open position that provides access to the waste receptacle inside of the waste-receiving system, such as by moving the waste receptacle at least partially outside of the cabinet or opening a cabinet door or access region. The system can include a sensor system configured to generate one or more electronic signals from an environment, such as from a user, and a processor in electronic communication with the sensor system and a motor, the processor configured to actuate the motor based at least in part on the one or more electronic signals received from the sensor system.

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.

Abstract: A finger ring having one or more notches to accommodate the webbing of a finger is disclosed, comprising a lower edge having a notch that is sized to allow a webbing of one or both sides of the finger to enter the notch, allowing the finger ring to sit lower on the finger of the hand. Preferably, a front/top side of the ring, when worn, has a view that is substantially rectangular such that the ring is perceived to be a traditional circular ring when worn when viewed from a front/top side of the ring. The ring may have a slope on the rear/bottom side of the ring to accommodate the notch(es) that allow(s) the ring to sit lower on the finger.

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 and methods describe techniques that search videos and media content to determine the presence of unknown objects, generate novel detectors trained to identify the unknown objects, and apply the novel detectors to historical media content to identify previous appearances of the unknown objects.

Abstract: A report publication system includes a first set of report management servers defining a first cluster supporting a common report management architecture. A first set of client machines operate in accordance with the common report management architecture. The first client machines are configured to access the first cluster. A second set of report management servers defines a second cluster supporting the common report management architecture. A second set of client machines operate in accordance with the common report management architecture. The second client machines are configured to access the second cluster. A first client machine of the first set of client machines invokes a report on the first cluster to form a published report with a designated destination address. The published report is exchanged between the first cluster and the second cluster via the Internet in accordance with the destination address.