NEXT-GENERATION ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: EMERGING TECHNOLOGIES, APPLICATIONS, AND FUTURE CHALLENGES

Abstract

This is a period of flourishing expansion of Artificial Intelligence (AI) and Machine Learning (ML) that has transformed the industrial sector and marked a new phase of technological advancement. The AIs of the next generation extend beyond the traditional models of machine learning, and new deep learning models, generative models, and autonomous decision-making. The developments have enabled AI to perform more advanced tasks such as natural language understanding, image generation, predictive analytics and real-time decision support. This research paper explores the history of the next-generation AI and ML technologies, including such significant advances as deep learning, generative artificial intelligence, large language models, and edge intelligence. The study is carried out in the form of a qualitative literature review of the latest academic sources and industry reports on AI development. The findings indicate that the next generation AI technologies are taking a giant leap in automation, efficiency and data-driven decision making in sectors such as the healthcare, financial, education, and manufacturing. However, the adoption of advanced AIs also introduces the concerns of ethical issues, algorithm bias, data security, and regulation. The future research directions are discussed at the end of the article, and the need that AI should be developed responsibly and transparently to make the most of the benefits of next-generation technologies of artificial intelligence in the society.