Machine learning (ML) and artificial intelligence (AI) are reshaping nanotechnology by making material discovery faster, improving property predictions, and optimizing experimental processes. By integrating AI with advanced fluids like nanofluids, bionanofluids, and ionic liquids, researchers are unlocking breakthroughs in energy transfer, medical diagnostics, and smart lubrication systems. AI-driven models—such as neural networks, support vector machines, and ensemble learning algorithms—help predict key thermophysical properties like viscosity and thermal conductivity. They also refine material compositions and even design precision nanomedicine delivery systems. By combining computational intelligence with real-world experiments, scientists can automate material development, leading to cost-effective, high-performance, and sustainable solutions across multiple industries. This synergy between AI and nanotechnology is paving the way for smarter, more efficient innovations.