AI and ChatGPT Applications in Computer Science: A Review of Machine Learning Frameworks for Healthcare, Food Production, and Cybersecurity

Abstract

The review presents the transformative uses of Artificial Intelligence (AI) and ChatGPT in the computer science in the context of machine learning frameworks applicable to healthcare, food production, and cybersecurity. It points out the efficiency, decision-making and innovation in these areas through advanced AI models. This paper talks about some of the most important frameworks, including TensorFlow, PyTorch, and Scikit-learn, and their contribution to creating intelligent systems. It further explores the ethical, privacy and transparency issues related to the inclusion of AI. This review identifies the role of responsible AI deployment and how ChatGPT may help to mediate human-machine communications in order to promote sustainable technological development in key areas by studying cross-domain effects.