Applications in Neural and Symbolic Artificial Intelligence

Key Points

• The aim is to examine the rise and influence of neural network-based artificial intelligence and its applications in various fields.
• Literature review of advancements in AI technologies
• Analysis of case studies in science and engineering
• Discussion of societal impacts of generative AI
• Neural networks have significantly transformed approaches in science and engineering.
• Deep learning applications have become essential in creating generative AI tools.
• The rise of AI technologies raises important societal considerations.