Recent rapid development in artificial intelligence (AI) enables self-adjustment and evolution for systems and robots with the collected data, realizing the ability to mimic human intelligence to carry out tasks. AI technology can improve the ability of automation and computation, opening the possibilities to explore the unknowns and solve problems that were unsolvable. Many research fields and industries have utilized AI, such as wireless communication, industrial automation, healthcare systems, voice recognition, computer vision, financial technology, and autonomous vehicles. Machine learning provides prediction models, which are constructed by data learning. This technique can also be incorporated with deep learning to enable the abilities of self-filtering and data-feature transformation for systems. AI technology can develop various algorithms and data-processing methods for different applications. Therefore, the development of AI requires a combination of software, hardware, data acquisition, and application.