USING ARTIFICIAL INTELLIGENCE IN OPTIMIZING THE COST OF VEHICLES VENTURES

Samandar Siddiqjanov

3rd grade student of “Economy” faculty in Namangan State Technological University

Keywords: Keywords: autonomous vehicles, Tesla, Waymo, early stage venture capital, advanced forecasting, integrated systems, Nash equilibrium, Game theory, decrease situation, comparative situation process.

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Abstract

Abstract: At the beginning of our century, when Silicon Valley announced that the rate of creation and design of transportation ventures had increased by 2.6 times , it also adopted a set of projects to optimize their cost. A group of scientists from Stanford University noted at that time that the econometric expectation of this project was equal to a 570% increase in the gross profit of venture capital. As the methodology of this project has been developed and improved over the past 25 years, the idea efficiency in the valley's transportation venture sector has increased by 47% per year, the prototyping rate has increased by 85.8 % , and the number of ventures approved for gross production has increased by 66%. This article highlights the research and some aspects of the use of artificial intelligence in economic projects to optimize the cost of transportation ventures in Silicon Valley .

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