Abstract: A system and method of optimizing cryptographic mining yields includes analyzing, by a cryptocurrency mining selection system, data associated with factors of interest for one or more cryptocurrencies using machine learning algorithms. Data that is determined to be predictive of the future value of newly mined tokens is used to determine which tokens will have the highest and lowest future values. Based on the predicted value of tokens in the future and the current value of those tokens for each cryptocurrency, the system outputs one or more instructions to buy tokens in cryptocurrencies predicted to increase in value, to sell tokens in cryptocurrencies predicted to decrease in value, and to instruct associated cryptocurrency mining hardware to switch to generating new tokens in one or more selected cryptocurrencies to maximize yields.

Abstract: Described are various embodiments of a passenger transport route management system and method. In one embodiment, a vehicular route management system for managing a set of predefined routes to be repetitively executed by a corresponding set of vehicles is described. The system illustratively comprises: a respective onboard user terminal; a network-accessible server operatively associated with a communication interface, a digital data processor and a data storage device. The server directly or indirectly links with each onboard user terminal via the communication interface to process route tracking data to automatically generate and dispatch a revised digital version of a given route based on identified deviations.