Abstract: Methods and apparatus for mediating user access to services over a network are described. Access is provided by a service network host to a plurality of connectors providing access to a plurality of services over the network. The services are provided by entities independent from the service network host. The connectors including a first connector are configured to communicate with a first service using a first format to retrieve or modify data associated with the first service. The first connector is further configured to identify one or more methods or data fields of the first service. The service network host is further configured to provide, to a computer associated with a user over the network, one or more directions for using the first connector to display and/or modify data from the first service over the network.

Abstract: A disinfecting tracking network for creating healthier environments. The system and methods for tracking and utilizing this information to build and maintain healthier environments with a laboratory approach to data inputs. This system is a cloud based system with IOT interface and APIs to enable broad reaching inputs for analysis. This system creates a safer ecosystem and cross statistic sharing of performance parameters.

Abstract: An unmanned aerial vehicle can be configured to adjust a beam direction, provide path information, act as a base station, act as a cluster head, include an improved directional antenna or array of directional antennas, communicate in a collaboration using belief propagation, receive communications from a serving station aiding in navigation or improved signal performance, or the like.

Abstract: Raw sensor data from a device of a user is collected. The raw data does not include location data for the device. The data is preprocessed to identify driving trips in which the user had the device. The trip data is provided to machine-learning models (MLMs) as input and the MLMs provide as output predictions for each trip's estimated speeds, estimated number of hard brakes and a degree of each hard brake, and estimated degrees of distracted driving. A duration, time of day, and calendar date of each trip is identified. The predictions, duration, time of day, and calendar date are modified into four factor values. The four modified factor values are combined into an overall driver characteristic value and provided to a network service associated with the user for purposes of providing or modifying services provided to the user through the network service based on the overall characteristic value.

Abstract: A disinfection platform for at least partially disinfecting a proximal surface is provided. A disinfection apparatus includes a housing defining an aperture, a UV light source enclosed in the housing configured to project a UV illumination pattern toward a target disinfection area where the disinfection apparatus is disposed above one end and oriented at a downward angle. The illumination pattern output from the disinfection apparatus at least partially defined by louvers and an occlusion nose with reflective fins positioned at the aperture such that the illumination pattern at the target disinfection surface has improved intensity distribution. Multiple sensors cooperate with a control circuit operating the UV light source to provide intelligent and automated control with pattern detection, event based disinfection, and validation.

Abstract: A blade adapter apparatus configured to couple multiple cutting blades to a shaft of an outdoor power equipment. The blade adapter apparatus can simplify attachment of multiple blades, which can be performed prior to interfacing with the outdoor power equipment. The blade adapter apparatus can prevent the multiple blades from being attached according to an improper orientation and prevent the multiple blades from being attached according to an improper order. The blade adapter apparatus can furthermore robustly distribute load from a high energy impact event, and/or maintain a fixed angle between blade tips of a multi-blade assembly.

Abstract: Provided is a process for manufacturing a standard chip-card module comprising metallized contacts (P1-P6) defining a graphic design comprising visible parts formed from lines, segments or dots, a first portion (2A, 12A) of which passes right through the thickness of the metallized contacts (P1-P6) and a second portion (2B, 12B) of which is formed only superficially on the upper external surface of the metallized contacts (P1-P6). The second portion (2A, 12A) is produced in the continuity of the first portion, to form said graphic design. Other embodiments directed to a module resulting from the process is disclosed.

Abstract: A machine learning system is provided to enhance various aspects of machine learning models. In some aspects, a substantially photorealistic three-dimensional (3D) graphical model of an object is accessed and a set of training images of the 3D graphical mode are generated, the set of training images generated to add imperfections and degrade photorealistic quality of the training images. The set of training images are provided as training data to train an artificial neural network.

Abstract: Methods and apparatus for mediating user access to services over a network are described. Access is provided by a service network host to a plurality of connectors providing access to a plurality of services over the network. The services are provided by entities independent from the service network host. The connectors including a first connector are configured to communicate with a first service using a first format to retrieve or modify data associated with the first service. The first connector is further configured to identify one or more methods or data fields of the first service. The service network host is further configured to provide, to a computer associated with a user over the network, one or more directions for using the first connector to display and/or modify data from the first service over the network.

Abstract: A volumetric data structure models a particular volume representing the particular volume at a plurality of levels of detail. A first entry in the volumetric data structure includes a first set of bits representing voxels at a first level of detail, the first level of detail includes the lowest level of detail in the volumetric data structure, values of the first set of bits indicate whether a corresponding one of the voxels is at least partially occupied by respective geometry, where the volumetric data structure further includes a number of second entries representing voxels at a second level of detail higher than the first level of detail, the voxels at the second level of detail represent subvolumes of volumes represented by voxels at the first level of detail, and the number of second entries corresponds to a number of bits in the first set of bits with values indicating that a corresponding voxel volume is occupied.

Abstract: A particular voxel is identified within a volume and a hash table is used to obtain volumetric data describing the particular voxel within the volume. Values of x-, y- and z-coordinates in the volume associated with the particular voxel are determined an index value associated with the particular voxel is determined according to a hashing algorithm, where the index value is determined from summing weighted values of the x-, y- and z-coordinates, and the weighted values are based on a variable value corresponding to a dimension of the volume. A particular entry is identified in the hash table based on the index value, where the particular entry includes volumetric data, and the volumetric data identifies, for the particular voxel, whether the particular voxel is occupied.

Abstract: A skill acquisition platform may receive input identifying a target role for a user, may identify users from the plurality of users that have worked in the target role, may identify, based on a similarity metric, a subset of the users that have worked in the target role and have similar career trajectories to the user, may cluster vectors of the user and vectors of the subset of the users that have worked in the target role to generate a plurality of skill groups, may generate a directed network graph that represents links between the plurality of skill groups, may identify one or more paths between a first skill group associated with the user and a second skill group associated with the target role, and may automatically generate a descriptive analysis of the one or more paths.

Abstract: A fluid delivery system can include a spray gun. The spray gun can include a mix chamber assembly having at least two bores configured to receive a first fluid and a second fluid, and a chamber fluidly coupled to the at least two bores, the chamber configured to mix the first and the second fluid. The spray gun can include a handle and a winged extension disposed to contact at least a portion of an operator's back hand when the operator holds the spray gun via the handle.

Abstract: Methods and apparatus for mediating user access to services over a network are described. Access is provided by a service network host to a plurality of connectors providing access to a plurality of services over the network. The services are provided by entities independent from the service network host. The connectors including a first connector are configured to communicate with a first service using a first format to retrieve or modify data associated with the first service. The first connector is further configured to identify one or more methods or data fields of the first service. The service network host is further configured to provide, to a computer associated with a user over the network, one or more directions for using the first connector to display and/or modify data from the first service over the network.

Abstract: The present invention relates to a system and method of manufacturing a mouth piece by 3D printing a 3D printer readable file encoding the mouth piece, the method comprising steps of: obtaining a scan file comprising physical data representing a user's teeth and gum line using 3D scanner means (100); removing outlier data from physical data in the scan file; generating representative geometrical data of the curvature of the user's teeth and gum line from the physical data; generating a virtual base model representing a mouth piece from the physical data and the representative geometrical data, the virtual base model having customisable dimensions (101); removing selected regions from the mouth piece represented by the virtual base model (102); and from the virtual base model, generating the 3D printer readable file encoding the mouth piece for printing on 3D printing means (103).

Abstract: Described herein is an aerial imaging system (100) including a plurality of cameras (104-107) configured to be mounted in operable positions on an underside of an aerial vehicle (102). Each camera (104-107) is oriented at a respective angle in a direction transverse to a direction of flight of the aerial vehicle (102) such that the cameras image separate non-overlapping fields of view during image capture. Also described herein is a method (400) of performing aerial photogrammetry using the aerial imaging system (100).

Abstract: A volumetric data structure models a particular volume representing the particular volume at a plurality of levels of detail. A first entry in the volumetric data structure includes a first set of bits representing voxels at a first level of detail, the first level of detail includes the lowest level of detail in the volumetric data structure, values of the first set of bits indicate whether a corresponding one of the voxels is at least partially occupied by respective geometry, where the volumetric data structure further includes a number of second entries representing voxels at a second level of detail higher than the first level of detail, the voxels at the second level of detail represent subvolumes of volumes represented by voxels at the first level of detail, and the number of second entries corresponds to a number of bits in the first set of bits with values indicating that a corresponding voxel volume is occupied.

Abstract: A view of geometry captured in image data generated by an imaging sensor is compared with a description of the geometry in a volumetric data structure. The volumetric data structure describes the volume at a plurality of levels of detail and includes entries describing voxels defining subvolumes of the volume at multiple levels of detail. The volumetric data structure includes a first entry to describe voxels at a lowest one of the levels of detail and further includes a number of second entries to describe voxels at a higher, second level of detail, the voxels at the second level of detail representing subvolumes of the voxels at the first level of detail. Each of these entries include bits to indicate whether a corresponding one of the voxels is at least partially occupied with the geometry. One or more of these entries are used in the comparison with the image data.

Abstract: A grammar is used in a grammatical evolution of a set of parent neural network models to generate a set of child neural network models. A generation of neural network models is tested based on a set of test data, where the generation includes the set of child neural network models. Respective values for each one of a plurality of attributes are determined for each neural network in the generation, where one of the attributes includes a validation accuracy value determined from the test. Multi-objective optimization is performed based on the values of the plurality of attributes for the generation of neural networks and a subset of the generation of neural network models is selected based on the results of the multi-objective optimization.

Abstract: A skill acquisition platform may receive input identifying a target role for a user, may identify users from the plurality of users that have worked in the target role, may identify, based on a similarity metric, a subset of the users that have worked in the target role and have similar career trajectories to the user, may cluster vectors of the user and vectors of the subset of the users that have worked in the target role to generate a plurality of skill groups, may generate a directed network graph that represents links between the plurality of skill groups, may identify one or more paths between a first skill group associated with the user and a second skill group associated with the target role, and may automatically generate a descriptive analysis of the one or more paths.