Advancements and Applications of Artificial Intelligence in Various Sectors: From Internet of Vehicles to 6G and Healthcare

Abstract

This research study explores the diverse application of Artificial Intelligence (AI) across various areas, it transforms impact on technological advancement. This survey begins by investing in AI’s role in enhancing the efficiency of the Internet of Vehicles through real-time Data collection and edge computing addressing challenges in optimizing edge service. The paper goes into AI’s critical contribution to medical diagnosis, disease detection and treatment highlighting applications in breast cancer detection and medical image analysis. The concept of human-AI collaboration is introduced, using the integration of human intelligence with AI to create a hybrid intelligence system. The paper further discusses an ice role in the COVID-19 pandemic from diagnosis to treatment utilizing deep learning techniques and extreme learning machines. This study extends to large-scale, power grid simulation analysis, where AI including deep learning and reinforcement learning significantly improves efficiency and accuracy. The integration of AI into robotics explains the role of teaching, assistant robots and vision-based assessment systems. The concept of smart farming is introduced, showcasing its potential to revolutionize agriculture production. Focusing on maximum PowerPoint tracking techniques for the improvement of efficiency. This study explores applying the artificial immune system of multi-objective optimization with decision-making and introduces the beneficial perturbation network for overcoming continued learning challenges in an Artificial Neural Network (ANN). Satellite communication and the vision of a 6G network are discussed in the integration of AI, IOT and 5G. In the context of the next generation, Smart credit is highlighted in this study and finally concluded by discussing about the challenges in Wireless Sensor Networks (WSN) and the increasing importance of AI.