Development of Nanotechnology by Artificial Intelligence: A Comprehensive Review

The integration of nanotechnology (nt) and artificial intelligence (ai) promises significant benefits across industries like medicine, energy, and materials science. this study examines ai-driven nt development, highlighting ai’s potential to revolutionize nanomaterial and nanosystem creation through accelerated discovery, design, and growth. some potential applications include enhanced medication delivery, ai-optimized nanosensors for biological monitoring, and material property prediction for energy use. however, current ai systems face limitations, such as the need for robust datasets and methods to link theoretical models with practical validation. ethical considerations encompass algorithmic bias, data privacy, and societal impacts. the study emphasizes the importance of responsible and ethical development, transparent regulations, and stakeholder communication to ensure fair and beneficial ai-driven nt integration. realizing the potential of this convergence requires addressing technical challenges and ethical concerns while fostering academic interdisciplinary collaboration and public engagement. this approach aims to maximize the positive impact of ai-nt synergy across various fields.