Abstract: An Artificial Intelligence (AI)-based data processing system processes current data to determine if the quality of the current data is adequate to be provided to data consumers and if the quality is adequate, the current data is further analyzed to determine if an impacted load including changes to dimension data of the current data or an incremental load including changes to fact data of the current data is to be provided to the data consumers. Depending on the amount of data to be provided to the data consumers, processing units (PUs) may be determined and assigned to carry out the data upload. Various machine learning (ML) models that are used to provide predictions from the current data are analyzed to determine the quality of predictions and if needed, can be automatically retrained by the data processing system.

Abstract: A field-of-vision processing and filtering system for eliminating glare from mobile and transient light sources and reflective surfaces, using image recording, eye-position detection, and a active matrix screen functioning as a dynamically controllable visor, for modifying the field of vision appropriately. The system filters out high light intensity points from the field of vision, without seriously affecting the relevant parts of the field of vision. One embodiment of the system can be used by drivers for filtering glare from oncoming headlight at night, as well as during day time to block glare from the sun. Another embodiment of the system can be used for protection from glare of welding iron in a machine shop.