Artificial Intelligence in Nanotechnology

AI is rapidly accelerating innovation in nanoscience. This track explores how machine learning and data-driven models are transforming nanomaterials discovery, predictive analysis, and device optimization. Attendees will learn about neural networks, deep learning, and computer vision techniques applied to nanotech. Case studies include AI-guided material design, process control, and nanosensor calibration. Presentations will emphasize automated data analysis from high-resolution imaging and simulations. This session is ideal for interdisciplinary professionals merging computation with nanoscience.

 

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