Abstract: Systems, methods, and processor-readable storage media for AI-assisted electrical power grid fault analysis predict the cause of a fault and cause the fault to be remedied by receiving an indication that a first fault has occurred, identifying a plurality of additional fault records associated with the first fault, obtaining a first prediction of the cause of the fault based on the first fault record and the plurality of fault records by applying the fault records to a machine learning model, obtaining a second prediction of the cause of the fault by applying the fault records to a rules-based model, and obtaining a final prediction of the cause of the first fault based on the first prediction and the second prediction. The final prediction of the cause of the first fault is used to cause the predicted cause of the first fault to be remedied.

Abstract: Systems, methods, and processor-readable storage media for AI continued learning in electrical power grid fault analysis use historical fault record data to generate a fault cause prediction model for predicting the cause of a fault, and modify the fault cause prediction model based on additional technician data received from power grid technicians. The systems disclosed herein additionally receive an indication of a fault which has occurred in a power grid, obtain a prediction of the cause of the fault by applying the indication of the fault to the fault cause prediction model, and cause the predicted cause of the fault to be remedied.

Abstract: Systems, methods, and processor-readable storage media for AI-assisted electrical power grid fault analysis predict the cause of a fault and cause the fault to be remedied by receiving an indication that a first fault has occurred, identifying a plurality of additional fault records associated with the first fault, obtaining a first prediction of the cause of the fault based on the first fault record and the plurality of fault records by applying the fault records to a machine learning model, obtaining a second prediction of the cause of the fault by applying the fault records to a rules-based model, and obtaining a final prediction of the cause of the first fault based on the first prediction and the second prediction. The final prediction of the cause of the first fault is used to cause the predicted cause of the first fault to be remedied.

Abstract: A method of processing raw sugar cane juice, comprising: reducing the pH of the sugar cane juice to a pH at which microbiological activity is substantially eliminated; separating chlorophyll from the sugar cane juice; separating particles having a diameter greater than 0.5 microns from the sugar cane juice; denaturing polyphenol oxidase (PPO) in the sugar cane juice by pasteurisation; separating the denatured polyphenol oxidase from the sugar cane juice.

Abstract: A method of processing raw sugar cane juice, comprising: reducing the pH of the sugar cane juice to a pH at which microbiological activity is substantially eliminated; separating chlorophyll from the sugar cane juice; separating particles having a diameter greater than 0.5 microns from the sugar cane juice; denaturing polyphenol oxidase (PPO) in the sugar cane juice by pasteurisation; separating the denatured polyphenol oxidase from the sugar cane juice.

Abstract: There is described a way to incite users to purchase various forms of digital content instead of obtaining it illegally. This is done by bundling digital content with other goods/services such that the result of purchasing digital content is that additional goods/services are also acquired that would not have been acquired if the digital content had been obtained illegally.

Abstract: A child places a specially marked object in front of a toy capable of recognizing the marks on the object and being able to articulate a word, phrase or sentence in response to the markings. This permits the toy to be able to read and speak. Visible codes, invisible codes or holograms may be located on the objects for this purpose. A mechanism inside the toy is provided to vocalize the sounds associated with each code or marking. Electronic representations of the various sounds vocalized may be stored in the toy or on a removable memory card so that the variety of sounds may be changed as desired. The sounds can be words, sentences, paragraphs, or phonemes. The words can be either spoken or sung.