An Overview of Artificial Intelligence Algorithms for Future Generation
Ritu Ritu, B.K. Tripathy · 2024
Algorithms for artificial intelligence (AI) have become revolutionary instruments that are reshaping society and technology for the next generations. This chapter offers a thorough summary of the major AI algorithms that will soon transform a number of industries. After providing a brief historical overview, the chapter delves into fundamental algorithms including reinforcement learning, neural networks, and genetic algorithms, explaining their workings, applications, and developments. The talk also covers modern AI algorithms, such as computer vision models, deep learning structures, and natural language processing methods, emphasizing their amazing potential and practical uses in a variety of fields. The chapter also explores new AI paradigms that have the potential to expand the field of AI research and deployment in the future including explainable AI, federated learning, and algorithms based on quantum computing. In addition, the chapter looks at the moral and societal ramifications of AI algorithms becoming more widely used. It emphasizes the significance of responsible AI research and uses it to reduce risks and build user and stakeholder confidence. It also covers the potential and difficulties that come with using AI algorithms, such as concerns about algorithmic bias, data privacy, and legal frameworks. To sum up, this chapter offers insightful information about how AI algorithms are developing and how they can revolutionize society in the future. Stakeholders may leverage AI to propel innovation, boost productivity, and tackle intricate social issues in the future by comprehending the potential, obstacles, and moral dilemmas related to AI algorithms.