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Shaik Khaleel Ahamed is an Associate Professor in the Department of Computer Science and Engineering at Methodist College of Engineering and Technology, India. His contribution focuses on Generative AI, intelligent computing, and emerging AI applications.
Generative Artificial Intelligence (GenAI) has surfaced as a revolutionary framework in contemporary computing, allowing machines to create novel material instead of solely categorising or forecasting pre-existing data. In contrast to traditional Artificial Intelligence systems that mostly emphasise analytical functions, generative models are capable of creating text, photos, audio, video, software code, synthetic data, designs, and multimodal material. This section offers an in-depth analysis of Generative AI for future computing technologies. It examines the principles of generative models, transformer frameworks, foundational models, prompt optimisation, retrieval-enhanced generation, multimodal cognition, artificial intelligence agents, edge and cloud infrastructure, software development, cybersecurity, healthcare systems, intelligent urban environments, Internet of Things, education, robotics, digital replicas, and computational science. The section additionally explores difficulties related to hallucination, privacy, security, bias, explainability, computational expenses, intellectual property issues, and ethical AI. Ultimately, novel research trajectories are introduced for the advancement of efficient, reliable, autonomous, multimodal, and human-centered generative computing systems.