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Explores cost-effective strategies for reducing CO2 emissions and introduces a price on emissions as an incentive for polluters to minimize costs while achieving emission reduction targets.
Explores the IPAT formula, analyzing environmental impact factors like population, affluence, and technology, and discusses strategies for meeting CO₂ emissions targets.
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Addresses the major world challenge of primary energy consumption and the impact of CO2 emissions on global warming, local pollution, and loss of diversity.
