8th International Conference on AI, Machine Learning, Intelligent Manufacturing & Automation (AI/ML25)

Artificial Intelligence (AI), Machine Learning (ML), Intelligent Manufacturing and Automation will revolutionize the fields of Nanotechnologies, Flexible and Printed Electronics, Advanced Materials, Green Energy, Nanomedicine, Bioelectronics, Nano-Manufacturing etc by providing robust and innovative solutions ranging to material synthesis and tailoring, to AI driven manufacturing processes and device performance & functionality optimization, to reliable and cost-effective large scale production with in-line quality control. As AI and ML technologies continue to develop, their impact on our daily life is expected to grow even further, paving the way for innovative and transformative applications and products in various fields, including Energy Production and Storage, Batteries, Low Energy Consumption Lighting, Energy Efficient Buildings, Electric Vehicles, Agriculture , Wearables, Biosensors, Sensors, 3D Bio-Printed organs and implants, etc.

Topice:

- Predictive Maintenance and Manufacturing Operations with AI
- In-Line Metrology, Quality Control and Defect Detection with AI
- AI-powered Robotics in Manufacturing
- Smart Manufacturing and IoT Integration
- 3D Printing, Materials, Functionalities and Architectures
- 3D Bioprinting (Structure, size, mechanical properties, bioinks etc.)
- Human-Robot Collaboration in Manufacturing
- AI-driven Energy Management in Manufacturing
- Cybersecurity for AI-enabled Manufacturing Systems
- AI for Inventory Optimization
- AI-driven Product Design and Customization
- Machine Learning for Demand Forecasting
- AI, Automations and Industry 4.0 and 5.0 in Nano-Manufacturing
- Natural Language Processing (NLP) for Manufacturing Data Analysis
- AI-driven Digital Twin Technology for Manufacturing
- Explainable AI (XAI) in Manufacturing
- AI Ethics and Governance in Manufacturing
- Machine Learning Approaches for Materials Design
- High-Throughput Screening using AI
- Quantum Machine Learning for Materials Modeling
- Data-driven Approaches to Materials Informatics
- AI-enabled Property Prediction for Materials
- Materials Genome Initiative and AI
- Intelligent Roll-to-roll printing processes
- Laser nanoprocessing (metallic films, nanoparticles, nanowires, CNT, graphene, quantum dots, etc)
- Laser tools integration in Manufacturing (R2R, large area scanning, registration, diagnostics, hybrid laser, printing)
- Pilot Lines for Organic Electronics, Healthcare, Bioprinting Large Scale Manufacturing