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Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...
AI is a key driver of Industry 4.0, orchestrating technologies like robotics, automated vehicles, and real-time data analytics. By enabling machines to perform complex tasks, AI is redefining production processes and reducing changeover times. [40] AI could also significantly accelerate, or even automate software development. [41] [42]
The environmental impacts of artificial intelligence (AI) may vary significantly. Many deep learning methods have significant carbon footprints and water usage. [ 1 ] Some scientists have suggested that artificial intelligence may provide solutions to environmental problems.
The regulation of AI in China is mainly governed by the State Council of the People's Republic of China's July 8, 2017 "A Next Generation Artificial Intelligence Development Plan" (State Council Document No. 35), in which the Central Committee of the Chinese Communist Party and the State Council of the PRC urged the governing bodies of China to ...
In advanced economies, roughly 60% of jobs are exposed to AI due to the prevalence of "cognitive task" oriented jobs. Overall exposure is 40% in emerging markets and 26% in low-income countries ...
Smart manufacturing leverages big data analytics to optimize complex production processes and enhance supply chain management. [7] Big data analytics refers to a method for gathering and understanding large data sets in terms of what are known as the three V's, velocity, variety and volume.