PICCOLO AI Trademark

Downloadable software for data capture, analysis, and automated software code generation for artificial intelligence and machine learning; Downloadable software applications for data capture, analysis, and automated code generation for use in target computing devices containing processors, microcontrollers, field programmable gate arrays, graphics processing units, neural processing units, and neuromorphic processors in the field of artificial intelligence and machine learning; software downloaded from a global computer network and software recorded on computer storage media for data capture, analysis, and automated software code generation in the field of artificial intelligence and machine learning; Downloadable artificial intelligence and machine learning software for data capture, analysis, and automated software code generation; Downloadable software utilizing sensors, namely, inertial sensors, ultrasonic sensors, temperature sensors, liquid level sensors, acceleration sensors, electrical voltage and/or current sensors, LED position sensors, vibration sensors, linear and rotational position sensors, optical sensors, proximity sensors, touchscreen sensors and infrared sensors, load cell sensors, strain gauge sensors, radar sensors, and image sensors for data capture, analysis, and automated software code generation for artificial intelligence and machine learning algorithms based on such sensors; Downloadable artificial intelligence software that executes on processors, microcontrollers, field programmable gate arrays, graphics processing units, neural processing units, and neuromorphic processors in the field of artificial intelligence and machine learning; Downloadable signal processing software that executes on processors, microcontrollers, field programmable gate arrays, graphics processing units, neural processing units, and neuromorphic processors to provide predictive analysis, signal pattern matching, inferencing, speech recognition, motion analysis, or vibration analysis from sensors