Artificial Intelligence

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RSHE

luonut Desi McKeown

ปัญญาประดิษฐ์

luonut Chattrin Rodbouthong

Elon Musk- Tesla

luonut Matthew Marchello

The generations of computers

luonut Lince Ce

Artificial Intelligence

Impact of AI on Environmental Management

land cover monitoring.

Applications of artificial intelligence in environmental management and supervision

Use of AI techniques in decision support systems

Future Perspectives and Areas of Developmen

Technological Innovation and Interdisciplinary Collaboration

Identification of additional areas where AI can be applied to improve environmental management and sustainability

Need to integrate AI ethically and equitably to address global environmental challenges

Continued research into the potential of AI in sustainability and environmental management

Benefits and Challenges of AI in Sustainability

Possible widening of disparities if AI benefits are not equitably available

Impact on socioeconomic equity

Challenges related to data bias, privacy and ethics in the use of AI

Potential benefits in energy efficiency, waste reduction and climate change mitigation.

Specific Applications of IA

Discovery of new materials for renewable energy and environmental cleanup

Heat recycling in structures and optimization of heating and cooling systems

Optimizing water resources management, including weather forecasting and water conservation

Prediction and control of producers and consumers of renewable energ