Abstract: A method for training a learning system to identify components of time-based data streams includes processing, by a machine vision component in communication with a learning system, a video file to detect at least one object in the video file. The method includes generating by the machine vision component an output including data relating to the at least one object and the video file. The method includes analyzing, by a learning system, the output. The method includes identifying, by the learning system, an unidentified object in the processed video file.

Abstract: A wave energy converter comprises a power generator, characterized by an axial length along a longitudinal axis; the power generator being configured to tilt about a horizontal axis perpendicular to the longitudinal axis. The tilt results in a conversion of kinetic energy, present in a group of water waves causing the tilt, to electrical energy. The axial length is less than approximately one quarter of the average wavelength expected to be encountered in a dominant sub-group of waves within the group of waves. The power generator generates power independent of whether or not the wave energy converter is tethered to any solid object at a position that is fixed independent of water motion.

Abstract: A digital computational learning system and corresponding method plan a series of actions to accomplish tasks. The system learns, automatically, a plurality of actor perceiver predictors (APP) nodes. Each APP node is associated with a context, action, and result. The result is expected to be achieved in response to the action being taken as a function of the context having been satisfied. Each APP node is associated with an action-controller that includes an instance of a planner that includes allied planners. The action-controller is associated with a goal state and employs the allied planners to determine a sequence of actions for reaching the goal state. The allied planners enable the system to plan a series of actions to accomplish complex tasks in a manner that is more robust and resilient relative to current state of the art artificial intelligence based learning systems and methods.

Abstract: A computer vision learning system and corresponding computer-implemented method extract meaning from image content. The computer vision learning system comprises at least one image sensor that transforms light sensed from an environment of the computer vision learning system into image data representing a scene of the environment. The computer vision learning system further comprises a digital computational learning system that includes a network of actor perceiver predictor (APP) nodes and a library of visual methods available to the APP nodes for applying to the image data. The digital computational learning system employs the network in combination with the library to determine a response to a query and outputs the response determined. The query is associated with the scene. The computer vision learning system is capable of answering queries not just about what is happening in the scene, but what would happen based on the scene in view of hypothetical conditions and/or actions.

Abstract: A natural language understanding (NLU) system utilizes a knowledge network having interconnected actor perceiver predictor (APP) nodes associated with context, action, and result. For a received utterance, an utterance type is determined, and an input message is generated based on the utterance type. The input message includes word-concept groupings, which include words of the received utterance and concept tags associated with the words. An action type is determined based on the utterance type. The knowledge network is searched to locate a subset of the APP nodes that exceed a threshold connection weight and thereby discriminate the word-concept groupings from other word-concept groupings represented by nodes of the network. Metadata for the word-concept groupings is retrieved from the subset of the APP nodes, and a response to the received utterance is generated by incorporating the metadata into a response template.

Abstract: A wave energy converter comprises a power generator, characterized by an axial length along a longitudinal axis; the power generator being configured to tilt about a horizontal axis perpendicular to the longitudinal axis. The tilt results in a conversion of kinetic energy, present in a group of water waves causing the tilt, to electrical energy. The axial length is less than approximately one quarter of the average wavelength expected to be encountered in a dominant sub-group of waves within the group of waves. The power generator generates power independent of whether or not the wave energy converter is tethered to any solid object at a position that is fixed independent of water motion.

Abstract: Light-emitting devices (e.g., LEDs) and methods associated with such devices are provided. In some embodiments, the device includes a distribution of light-generating portions (including active regions) that are spatially localized and separated (e.g., horizontally or vertically) from one or more patterned light extraction portions. This arrangement can allow light generated by the device to propagate and pass through regions of low absorption (e.g., light-extraction portions) rather than in regions of high absorption (e.g., light-generating portions), which can enhance light emission.

Abstract: Electronic devices involving contact structures, and related components, systems and methods associated therewith are described. Contact structures (also referred to as electrical contact structures or electrodes) are features on a device that are electrically connected to a power source. The power source can provide current to the device via the contact structures. The contact structures can be designed to improve current distribution in electronic devices. For example, the contact resistance of the contacts may be modified to improve current distribution (e.g., by controlling the shape and/or structure and/or composition of the contacts). The contact structures may include an intervening layer (e.g., a non-ohmic layer) positioned between a surface of the device and a conductive portion extending from a conductive pad. The intervening layer and/or conductive portions may be designed to have certain shapes (e.g.

Abstract: Light-emitting devices, and related components, processes, systems and methods are disclosed.

Abstract: Light-emitting devices, and related components, processes, systems and methods are disclosed.

Abstract: Light-emitting devices (e.g., LEDs) and methods associated with such devices are provided. In some embodiments, the device includes a distribution of light-generating portions (including active regions) that are spatially localized and separated (e.g., horizontally or vertically) from one or more patterned light extraction portions. This arrangement can allow light generated by the device to propagate and pass through regions of low absorption (e.g., light-extraction portions) rather than in regions of high absorption (e.g., light-generating portions), which can enhance light emission. In some instances, the devices include one or more series of light extraction portions with features arranged in a first and/or second pattern, which may be formed on one or more interfaces of the device (e.g., an emission surface). Patterns can be defined by a series of features (e.g., holes) having certain characteristics (e.g.

Abstract: Light-emitting device methods are disclosed.

Abstract: Light-emitting device methods are disclosed.

Abstract: A method of processing semiconductor films and layers, especially Group III Nitride films, has been achieved, using laser-enhanced, room-temperature wet etching with dilute etchants. Etch rates of a few hundred .ANG./min up to a few thousand .ANG./min have been achieved for unintentionally doped n-type Group III Nitride films grown by MOCVD on a sapphire substrate. The etching is thought to take place photoelectrochemically with holes and electrons generated by incident illumination from 4.5 mW of HeCd laser power enhancing the oxidation and reduction reactions in an electrochemical cell.