Abstract: The zip line rail system can be connected to a challenge course, a zip line, a zip track system, or any combination thereof. The zip line rail system of the present invention can have two rails that a member slide's two wheels rollably engage with, and the zip line rail system can be configured in any of a variety of directions.

Abstract: Systems and methods for generating composite sets of data based on sensor data from different sensors are disclosed. Exemplary implementations may capture a color image including chromatic information; capture a depth image; generate inertial signals conveying values that are used to determine motion parameters; determine the motion parameters based on the inertial signals; generate a re-projected depth image as if the depth image had been captured at the same time as the color image, based on the interpolation of motion parameters; and generate a composite set of data based on different kinds of sensor data by combining information from the color image, the re-projected depth image, and one or more motion parameters.

Abstract: Methodologies, systems, and computer-readable media are provided for generating a dynamic 3D communication map. Data is collected from a number of autonomous drones as they navigate through a particular area. The autonomous drones can collect environmental data, location data, signal strength data, signal usability data, etc. and transmit that data back to a computing system. The computing system analyzes the data received from the autonomous drones and generates a dynamic 3D communication map that indicates the signal strength and/or the signal usability of various wireless communication signals as a function of time and other variables.

Abstract: A nursing garment computing system includes a nursing garment having a pair of breast cups with an electronic sensor to indicate the status of a breast in the pair of breast cups and a computing device to record the sensor data indicative of whether the breast cup is open or closed. The data can be electronically sent to an external device such as a cell phone or personal digital assistant to keep track of which breast cup has been opened for breastfeeding event, time between breastfeeding event, amount of time for breastfeeding from each side of the breast, a record of which side was nursed last, and a record of which side was nursed first during the last breastfeeding event.

Abstract: A method of forming a three-dimensional memory device includes forming a first-tier alternating stack of first insulating layers and first sacrificial material layers, forming first-tier memory openings, first-tier support openings, and first-tier moat trenches through the first alternating stack using a same etching step, forming a first dielectric moat structure in the first moat tier-trenches and first support pillar structures in the first-tier support openings during a same deposition step, forming memory stack structures in the first-tier memory openings, forming backside trenches through the first-tier alternating stack after forming the first dielectric moat structure, replacing portions of the first sacrificial material layers with first electrically conductive layers through the backside trenches, and forming at least one through-memory-level interconnection via structure through the first vertically alternating sequence of first insulating plates and first dielectric material plates surrounded by t

Abstract: Battery charge function may be in an LED driver which eliminates the duplication of line interface circuitry. A single line interface circuit provides the input power conversion for both the battery charge function and normal operation of the LED driver. During a loss of power, the LEDs may be controlled using power from the battery backup module.

Abstract: A method, computer program, and computer system is provided for coding video data. Video data is received. One or more transform cores corresponding to a transform associated with the video data are identified. The one or more transform cores include one or more of a line graph transform (LGT) and a discrete cosine transform (DCT) The video data is decoded based on the identified transform core. The transform cores correspond to one or more from among an 8-bit transform core and a 10-bit transform core. The transform corresponds to one or more from among a 2-point transform, a 4-point transform, an 8-point transform, a 16-point transform, a 32-point transform, and a 64-point transform.

Abstract: An apparatus, related devices and methods, having memory; and a processor operable to execute instructions stored in the memory configured to cache a first data object and a second data object received from a source in a cache group based on metadata received from the source, where the metadata identifies the first and second data objects as related and the first data object as a trigger object; receive a request from a client for the first data object; identify, based on a determination that the first data object is invalid and is the trigger object, the first data object and the second data object as invalid; request a valid first data object and a valid second data object from the source; and cache the valid first and second data objects, received from the source, in the cache group.

Abstract: The present disclosure provides systems and methods for on-device machine learning. In particular, the present disclosure is directed to an on-device machine learning platform and associated techniques that enable on-device prediction, training, example collection, and/or other machine learning tasks or functionality. The on-device machine learning platform can include a context provider that securely injects context features into collected training examples and/or client-provided input data used to generate predictions/inferences. Thus, the on-device machine learning platform can enable centralized training example collection, model training, and usage of machine-learned models as a service to applications or other clients.

Abstract: Performing anomaly lookup on data sources that include an entity related to an alert. One or more entities related to an alert and a date when the alert occurred are received. The alert may indicate that an anomaly in data collected from a various data sources may be present in at least one of the data sources. The various data sources are searched for the one or more entities around the alert date to determine which of the data sources include the one or more entities. For those data sources including the one or more entities, an anomaly lookup procedure is performed on the data sources during a first time window to determine an initial set of suspicious anomalies.