Abstract: One variation of a method for quantifying user engagement includes: serving a digital advertisement to a mobile device; recording a first proportion of pixels of the digital advertisement rendered on a display of the mobile device during a first sampling period; recording a second proportion of pixels of the digital advertisement rendered on the display of the mobile device during a second sampling period offset in time from the first sampling period; calculating a cumulative pixel exposure of the digital advertisement at the mobile device based on a combination of a first product of the first proportion of pixels and a duration of the first sampling period and a second product of the second proportion of pixels and a duration of the second sampling period; and storing the cumulative pixel exposure as an engagement metric for a user consuming the digital advertisement at the mobile device.

Abstract: A time of flight based depth detection system is disclosed that includes a projector configured to sequentially emit multiple complementary illumination patterns. A sensor of the depth detection system is configured to capture the light from the illumination patterns reflecting off objects within the sensor's field of view. The data captured by the sensor can be used to filter out erroneous readings caused by light reflecting off multiple surfaces prior to returning to the sensor.

Abstract: Fill techniques as implemented by a computing device are described to perform hole filling of a digital image. In one example, deeply learned features of a digital image using machine learning are used by a computing device as a basis to search a digital image repository to locate the guidance digital image. Once located, machine learning techniques are then used to align the guidance digital image with the hole to be filled in the digital image. Once aligned, the guidance digital image is then used to guide generation of fill for the hole in the digital image. Machine learning techniques are used to determine which parts of the guidance digital image are to be blended to fill the hole in the digital image and which parts of the hole are to receive new content that is synthesized by the computing device.

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyses (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.

Abstract: Aspects of the subject technology provide electronic devices that operate, in part, based on enrolled user characteristics, and that can be operated by a guest user that has not been enrolled. For example, upon determining that a current user of an electronic device storing a first physical model of a primary user is a guest user different from the primary user, the electronic device may obtain initial physical characteristic data for the guest user and generate a guest physical model of the guest user based on the initial physical characteristic data. In one or more implementations, the electronic device may operate based on guest user inputs and the guest physical model of the guest user, while updating the guest physical model based on the guest user inputs.

Abstract: Device for interception of incoming ordnance, comprises a dispersion unit to disperse an explosive cloud in an expected path of the incoming ordnance, a proximity detector to detect proximity of the incoming ordnance in relation to the explosive cloud; and an ignition unit associated with said proximity detector that ignites the explosive cloud to disrupt the incoming ordnance.

Abstract: A tuner for a guitar having a neck and string nut including a plurality of nut slots configured to receive respective guitar strings. A tuner mount is fixedly secured to the neck and a tuner body is mounted on the tuner mount. A string break angle fastener is engageable with a guitar string passing through the respective nut slot and sets a break angle of the guitar string. A string lock carriage is movably mounted on the tuner body and includes a string fastener engageable with the guitar string passing through the respective nut slot to secure the guitar string to the carriage. A tuner knob is manually movable to drive the string carriage and thereby adjust the tension of and tune the respective guitar string.

Abstract: A method for determining a distance to a target object includes transmitting light pulses to illuminate the target object and sensing, in a first region of a light-sensitive pixel array, light provided from an optical feedback device that receives a portion of the transmitted light pulses. The feedback optical device includes a preset reference depth. The method includes calibrating time-of-flight (TOF) depth measurement reference information based on the sensed light in the first region of the pixel array. The method further includes sensing, in a second region of the light-sensitive pixel array, light reflected from the target object from the transmitted light pulses. The distance of the target object is determined based on the sensed reflected light and the calibrated TOF measurement reference information.

Abstract: Systems and methods including a framework for migration of live data. The method may comprised, by one or more hardware processors executing program instructions, receiving, at a migration proxy of the framework, code for reading data and writing data compatible with each of a plurality of states of a migration of data in a data store, wherein a service is at least intermittently reading data from and writing data to the data store; determining, by a migration runner of the framework, to perform the migration of the data; initiating, by the migration runner, the migration of the data, wherein the migration comprises a plurality of stages; storing, as the migration progresses through the plurality of stages, and at a migration data store of the framework, a current stage of the migration; and during the migration, using the migration proxy to read data from and write data to the data store.

Abstract: A method, system and computer program product assess risk of an unauthorized API login and mitigate damage from an unauthorized API login. The method includes collecting in a database license attributes of a user license, user profile attributes, and database content change attributes; receiving an API login request; comparing features of the API login request to at least one of the database license attributes, user profile attributes, and database content change attributes against a predetermined threshold; assessing a risk of the an unauthorized API login request based on a result of the comparison; and based on a level of the assessed risk, implemented protective action to mitigate harm that may result from an unauthorized user from accessing information or services from a computer system by way of an API.

Abstract: An imaging system includes an illumination unit and a sensor unit disposed on a printed circuit board. The illumination unit includes a diode laser source inside an illumination housing. The sensor unit includes an image sensor having a pixel array and a lens barrel mounted on the image sensor with an adhesive, and an optical fiber coupled between the illumination housing and image sensor. The optical fiber is configured to collect a portion of light from the interior of the illumination housing that is emitted by the diode laser source and direct the portion of light to a corner of the pixel array of the image sensor that is located outside the lens barrel.

Abstract: Topical delivery systems are described. The topical delivery systems include at least one skin care active and nanocellulose in a cosmetic composition. It has been surprisingly found that the presence of nanocellulose in a cosmetic composition enhances or regulates the penetration of skin care actives. The present application further describes a cosmetic composition comprising a skin care active and nanocellulose and use thereof.

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyses (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.

Abstract: A method and system for blurring location data. Location data indicating a location of a mobile device and a user identification associated with the mobile device is received. Prestored data indicating a plurality of entries is accessed, each entry having a respective stored location associated with a corresponding location status. In response to an entry in the prestored data including a stored location corresponding to the location of the mobile device indicated in the location data, a derived location of the mobile device is generated based on the corresponding location status of the stored location, wherein the derived location is less accurate than the location indicated in the received location data. The derived location of the mobile device is stored in a mobile device location log associated with the received user identification.

Abstract: Methods and systems are provided for optimal segmentation of an image based on multiple segmentations. In particular, multiple segmentation methods can be combined by taking into account previous segmentations. For instance, an optimal segmentation can be generated by iteratively integrating a previous segmentation (e.g., using an image segmentation method) with a current segmentation (e.g., using the same or different image segmentation method). To allow for optimal segmentation of an image based on multiple segmentations, one or more neural networks can be used. For instance, a convolutional RNN can be used to maintain information related to one or more previous segmentations when transitioning from one segmentation method to the next. The convolutional RNN can combine the previous segmentation(s) with the current segmentation without requiring any information about the image segmentation method(s) used to generate the segmentations.

Abstract: Methods and apparatuses related to federated search of multiple sources with conflict resolution are disclosed. A method may comprise obtaining a set of data ontologies (e.g., types, properties, and links) associated with a plurality of heterogeneous data sources; receiving a selection of a graph comprising a plurality of graph nodes connected by one or more graph edges; and transforming the graph into one or more search queries across the plurality of heterogeneous data sources. A method may comprise obtaining a first data object as a result of executing a first search query across a plurality of heterogeneous data sources; resolving, based on one or more resolution rules, at least the first data object with a repository data object; deduplicating data associated with at least the first data object and the repository data object prior to storing the deduplicated data in a repository that has a particular data model.

Abstract: The invention relates to a wellbore fluid, which is a monovalent brine comprising one or more alkali bromide salt(s) and one or more TCT-reducing additive(s) selected from the group consisting of alkali nitrates. A method of treating a subterranean formation, comprising placing the wellbore fluids of the invention in a wellbore in the subterranean formation is also provided.

Abstract: A discriminative captioning system generates captions for digital images that can be used to tell two digital images apart. The discriminative captioning system includes a machine learning system that is trained by a discriminative captioning training system that includes a retrieval machine learning system. For training, a digital image is input to the caption generation machine learning system, which generates a caption for the digital image. The digital image and the generated caption, as well as a set of additional images, are input to the retrieval machine learning system. The retrieval machine learning system generates a discriminability loss that indicates how well the retrieval machine learning system is able to use the caption to discriminate between the digital image and each image in the set of additional digital images. This discriminability loss is used to train the caption generation machine learning system.

Abstract: A reactive armor unit has a first explosion center and a second explosion center, the unit being configured with a predetermined distance between the first and the second explosion centers.