Abstract: A system and method for automatically tagging customer messages using artificial intelligence models. A server gateway processes the customer messages via an artificial intelligence system featuring artificial intelligence models. The artificial intelligence system analyzes the customer messages to determine the content by tagging words and phrases with industry specific tags (e.g. product feedback, product defects, shipping delays, etc) as well as tags based on sentiment type (e.g., negative, positive, neutral, sarcasm, mixed) and contact type (e.g., delivery person, influencer, postsale, presale). The artificial intelligence system returns the tagged results, which are transmitted by the server gateway to a user computational device or another system for visualization.

Abstract: Embodiments are disclosed for a continuous hand pose tracking system employing at least one wrist-worn antenna, from which real-time dielectric loading resulting from different hand poses). The sensor data is interpreted by a machine learning backend, which outputs a fully-posed three-dimensional (3D) hand that can be continuously tracked. In some embodiments, two degrees of freedom (2DOF) wrist angle and micro-gestures are tracked. The hand pose tracking system can be extended to include two or more and/or different types of antennas operating at different self-resonances. In an embodiment, a method comprises: determining, with at least one processor of a wrist-worn device, a complex impedance characteristic variation based on a dynamic finite electric ground plane of at least one antenna coupled to the device; and predicting, with the at least one processor, a hand pose of a user wearing the device on a their wrist based on the determined complex impedance characteristic variation.

Abstract: In some implementations, a classification system may receive credentials associated with a data source and may receive, from the data source and using the credentials, a set of structured data including input events and output events. The classification system may filter the set of structured data by applying a first set of rules to generate a filtered set of structured data and may convert the filtered set of structured data to one or more numerical vectors, where a vector space associated with the one or more numerical vectors is infinite-dimensional. The classification system may further cluster the one or more numerical vectors using a first machine learning model to generate one or more clusters. Accordingly, the classification system may determine one or more classifications based on the set of structured data, each of the one or more classifications being associated with a corresponding frequency and a corresponding category.

Abstract: A fluid dispensing system generally comprising a dispensing nozzle coupled to a supply conduit; the dispensing nozzle detachably connected to a receiver; a receiver identification device associated with the receiver; an electrical identification circuit being contact-based and including the receiver identification device; an electronics module connected to the supply conduit and arranged to communicate with the electrical identification circuit whereby connection of the dispensing nozzle to the receiver completes the electrical identification circuit and permits communication of at least a unique receiver identifier associated with the receiver identification device to the electronics module.

Abstract: A fluid dispensing system generally comprising a dispensing nozzle coupled to a supply conduit; the dispensing nozzle detachably connected to a receiver; a receiver identification device associated with the receiver; an electrical identification circuit being contact-based and including the receiver identification device; an electronics module connected to the supply conduit and arranged to communicate with the electrical identification circuit whereby connection of the dispensing nozzle to the receiver completes the electrical identification circuit and permits communication of at least a unique receiver identifier associated with the receiver identification device to the electronics module.

Abstract: An intelligent door lock system includes a position sensing device at a dwelling configured to be coupled to a drive shaft of a lock device to assist in locking and unlocking a lock of a lock device. An engine has a memory, and the engine is coupled to the positioning sensing device. An energy source is provided. A security system includes a motion detection device, and a camera coupled to an analytics engine to look for a person or thing at or near a door or window at the dwelling. In response to the detection of a person or thing at or near the door or window of the dwelling the camera is activated from a sleep state to an active state.

Abstract: An intelligent door lock system includes a position sensing device at a dwelling configured to be coupled to a drive shaft of a lock device to assist in locking and unlocking a lock of a lock device. An engine with a memory is coupled to the positioning sensing device. An energy source is provided. At least one motion detection device looks for a person at or near a door or window at the dwelling. A device converts energy into mechanical energy is coupled to the positioning sensing device and the drive shaft. The device that converts energy is coupled to the energy source to receive energy from the energy source.

Abstract: An intelligent door lock system includes a position sensing device at a dwelling configured to be coupled to a drive shaft of a lock device to assist in locking and unlocking a lock of a lock device. An engine with a memory is coupled to the positioning sensing device. An energy source is provided. At least one motion detection device looks for a person at or near a door or window at the dwelling. A device converts energy into mechanical energy is coupled to the positioning sensing device and the drive shaft. The device that converts energy is coupled to the energy source to receive energy from the energy source.

Abstract: An intelligent door lock system includes a position sensing device at a dwelling configured to be coupled to a drive shaft of a lock device to assist in locking and unlocking a lock of a lock device. An engine has a memory, and the engine is coupled to the positioning sensing device. An energy source is provided. A security system includes a motion detection device, and a camera coupled to an analytics engine to look for a person or thing at or near a door or window at the dwelling. In response to the detection of a person or thing at or near the door or window of the dwelling the camera is activated from a sleep state to an active state.

Abstract: A step gain amplifier has an amplifier with an input and an output, and a bias circuit connected to the input and to a bias node. A passive feedback circuit using only passive elements connects the output to the input. A control circuit is connected to the bias circuit at the bias node.

Abstract: A step gain amplifier has an amplifier with an input and an output, and a bias circuit connected to the input and to a bias node. A passive feedback circuit using only passive elements connects the output to the input. A control circuit is connected to the bias circuit at the bias node.

Abstract: A current mirror multi-channel leakage monitor circuit and method measures die leakage and generates digital keeper control bits to control a process compensated dynamic circuit. The leakage monitor enables high resolution on-chip leakage measurements in multiple locations on a die, thereby saving test time and enabling both die to die and within die process compensation.