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Regulation of self-driving cars, autonomous vehicles and automated driving system is an increasingly relevant topic in the automotive industry strongly related to the success of the actual technology. Multiple countries have passed local legislation and agreed on standards for the introduction of autonomous cars.
A self-driving car, also known as a autonomous car (AC), driverless car, robotaxi, robotic car or robo-car, [1] [2] [3] is a car that is capable of operating with reduced or no human input. [ 4 ] [ 5 ] Self-driving cars are responsible for all driving activities, such as perceiving the environment, monitoring important systems, and controlling ...
In October 2019, the company's self-driving cars passed 1 million miles in fully autonomous driving. [32] [33] [34] In November 2019, the company launched delivery robots based on the same technology stack as the company's self-driving cars. [35] [36] [37] Robots were the size of a suitcase and navigated sidewalks at the speed of 5–8 km/h ...
On March 30, 2023, AutoGPT was released by Toran Bruce Richards, the founder and lead developer at video game company Significant Gravitas Ltd. [3] AutoGPT is an open-source autonomous AI agent based on OpenAI's API for GPT-4, [4] the large language model released on March 14, 2023. AutoGPT is among the first examples of an application using ...
Yahoo! Front Page Today Module User Click Log User click log for news articles displayed in the Featured Tab of the Today Module on Yahoo! Front Page. Conjoint analysis with a bilinear model. 45,811,883 user visits Text Regression, clustering 2009 [473] [474] Chu et al. British Oceanographic Data Centre
Automated planning and scheduling, sometimes denoted as simply AI planning, [1] is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles.
Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...
In artificial intelligence, symbolic artificial intelligence (also known as classical artificial intelligence or logic-based artificial intelligence) [1] [2] is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. [3]