PUBLICATIONS & RESEARCH WORK
Predicting Global Climate Change with AI
Researched and published an academic paper titled ‘Predicting Global Climate Change with AI’. The research paper was published in the International Journal of Research in Engineering, Science and Management, in February 2023.
The paper discusses how AI will be a game-changer in predicting global climate change. Artificial intelligence (AI) is a rapidly expanding branch of computer science that is expected to profoundly alter critical facets of our civilization. Machine Learning techniques are frequently used by numerous scientific fields, with varying degrees of success. This paper predicts that the application of machine learning to the Earth System will be a success, providing fresh understandings of the immensely rich diversity of interrelated Earth System behaviors and their numerous connections with biological cycles. In this paper, we confirm how AI has been playing a vital role across techniques used in the light of global climate change.
Please click on the below link to access the paper:
Artificial Intelligence Consciousness: A Review of Salient Arguments and Supporting Evidence
Researched and published a literature review paper, supervised by Dr. Samar Sabie, PhD Information Science, Cornell; Assistant Professor University of Toronto, through Lumiere Education Research. The review paper titled ‘‘Artificial Intelligence Consciousness: A Review of Salient Arguments and Supporting Evidence’, was published in the International Journal of Enhanced Research in Management & Computer Applications, in October 2023.
Within the scientific community, there has been a great deal of discussion regarding the idea of artificial intelligence (AI) consciousness, which raises crucial questions about the nature of consciousness and the potential moral ramifications of constructing sentient machines, and also the future implications for both AI and humanity.
Within the scientific community, there has been a great deal of discussion regarding the idea of artificial intelligence (AI) consciousness, which raises crucial questions about the nature of consciousness and the potential moral ramifications of constructing sentient machines. This review paper will seek to offer a thorough overview of the key points and relevant supporting data about AI awareness. We will review key theoretical schools, including functionalism, panpsychism, and integrated information theory, as well as current research results and computer models that aim to explain the nature of consciousness in AI systems. We will also discuss the moral issues and probable societal effects of AI consciousness. We aim to create a better understanding of the current level of AI consciousness research and the forthcoming challenges by studying these many viewpoints, and also the future implications for both AI and humanity.