AI in Industry: Activities of the CINI-AIIS Lab at University of Naples Federico II

Artificial intelligence (AI) is reshaping the manufacturing landscape, offering opportunities for efficiency improvements and innovation. Through Machine Learning (ML) and Deep Learning (DL), AI enables predictive maintenance, anomaly detection, and image analysis in industrial settings. ML algorithms empower systems to learn from data, facilitating predictive maintenance by predicting optimal equipment servicing schedules based on operational conditions. DL techniques, including Convolutional Neural Networks (CNNs), are revolutionizing industrial image analysis by extracting intricate features for quality control and defect detection. Moreover, the integration of DL with natural language processing (NLP) streamlines tasks like document analysis and inventory management. At the University of Naples Federico II’s CINI-AIIS Lab, cutting-edge AI projects are underway, showcasing the transformative potential of AI in the industry sector.