The Future of Artificial Intelligence: Advancing Intelligence Across Sectors
Ankush naik naik
Paper Contents
Abstract
The Future of Artificial Intelligence: Advancing Intelligence Across SectorsAbstractArtificial Intelligence (AI) has the potential to transform industries, and is increasingly becoming more intelligent, adaptive, and autonomous. Recent breakthroughs in AI technology, combined with the increasing performance of computation, are enabling AI systems to perform tasks with superhuman capabilities. Future AI is expected to exhibit more intelligent behaviour, including general intelligence. This paper explores potential trends in developing future AI technologies through ten recent breakthrough areas, including quantum computing-based AI; brain-inspired AI; swarm-intelligence-based AI; physiological- statusbased emotion recognition; motion prediction for humanrobot interaction in collaborative manufacturing environments; human-like fairness for perception and decision making; cognitive architecture for computing feedback during learning process; innovative deep reinforcement learning techniques based on modifications to restricted Boltzmann machine structure; high-level automated logical reasoning with definitions and proofs across different domains and subdomains within mathematics using artificial general intelligence (AGI); and parallel graphical computations. These advances in technology are then mapped into 20 potential areas of transformative impact created by future AI technologies in social sectors such as health care, finance, education and entertainment. However, this paper also discusses emerging ethical legal societal (ELS) issues associated with increasingly autonomous and intelligent AI systems operating onbelowabove the level of human intelligence that become more intertwined in human lifesociety
Copyright
Copyright © 2024 Ankush naik. This is an open access article distributed under the Creative Commons Attribution License.