AI in Manufacturing at SII-Lab enhances production processes through machine learning. Our research covers smart maintenance, quality control automation, production planning, and human-robot collaboration. We develop digital twin technologies to optimize manufacturing environments. AI is used for predictive and preventive maintenance to foresee and mitigate equipment failures. Sustainability is central, with AI solutions designed to reduce waste and energy consumption. Collaborating with industrial partners, we aim to improve efficiency, support workers, and maintain environmental responsibility.