3rd International Conference on Artificial Intelligence, Data Science, and Robotics
Oct 22-23, 2025 | Amsterdam, Netherlands

Theme: “Redefining Automation with AI and Robotics”

About Us:

The 3rd International Conference on Artificial Intelligence, Data Science, and Robotics, happening on October 22-23, 2025, in the vibrant city of Amsterdam, Netherlands, is a premier gathering focused on the transformative power of robotics and artificial intelligence in automation. Under the theme "Redefining Automation with AI and Robotics," this conference brings together global leaders, researchers, engineers, and industry professionals to explore cutting-edge innovations and foster collaborations that are revolutionizing technology and automation.

Join us in Amsterdam to gain insights into groundbreaking advancements and network with pioneers shaping the future of robotics and AI-driven automation.

This event will feature scientific tracks covering the latest breakthroughs in robotics, AI integration, industrial automation, and more. We warmly invite speakers, delegates, students, and professionals from the field to participate and contribute to this innovative platform.

Benefits:

• Gain insights into state-of-the-art research and emerging trends.
• Network with leading experts, innovators, and peers in robotics and AI.
• Enhance your professional connections and explore new collaboration opportunities.

Why Attend LONGDOM Conferences?

• Stay updated on the latest advancements in robotics and AI.
• Connect with global experts and like-minded professionals.
• Explore innovative technology at the exhibition.
• Interact with editors from leading journals.
• Earn certifications, experience global networking, and discover opportunities for brand launches.

Who Will Be the Participants?

• Academia: Deans, directors, professors, postdocs, and students from engineering and robotics departments.
• Industry Leaders: CEOs, CTOs, product designers, and business professionals in automation and AI.
• Research Institutions: Scholars and innovators developing groundbreaking technologies.
• Professional Associations: Members of robotics, AI, and automation societies.
• Healthcare, Manufacturing, and Tech Organizations: Professionals integrating robotics and AI into real-world applications.

Eligibility and Benefits for Group Participation:

Eligible Groups:

• Academic Institutions and Universities: Faculty, researchers, and students from robotics, AI, and engineering fields.
• Research Institutions: Teams advancing robotics and AI technologies.
• Industry Professionals: Representatives from automation, manufacturing, and tech companies.
• Professional Societies: Members of robotics and automation-focused organizations.

Group Benefits:

• Discounted Registration Fees: Special rates for group participation.
• Priority Seating and Recognition: Highlight your institution or organization.
• Networking Opportunities: Access exclusive group sessions to connect with global leaders.
• Custom Packages: Tailored benefits like exhibition space, branding opportunities, and meeting rooms.
• Enhanced Learning: Maximize insights and team-based discussions.
• Certificates for All: Receive individual participation certificates.
• Brand Promotion: Showcase your institution or organization at the event.
• Post-Conference Access: Continue learning with access to recorded sessions and materials.

Track 01: Machine Learning Algorithms

This track explores fundamental and advanced machine learning techniques such as classification, regression, clustering, and ensemble methods. It covers model selection, training strategies, cross-validation, and real-world applications in areas like fraud detection, recommendation systems, and automation, empowering data-driven decision-making across industries.

Track 02: Deep Learning and Neural Networks

Focus on deep learning architectures like convolutional, recurrent, and transformer-based neural networks. Learn about backpropagation, activation functions, optimization methods, and frameworks like TensorFlow and PyTorch. This session highlights use cases in image processing, speech recognition, natural language understanding, and autonomous machines.

Track 03: Natural Language Processing (NLP)

Delve into techniques for understanding, analyzing, and generating human language using AI. Topics include named entity recognition, sentiment analysis, question answering, and large language models such as GPT and BERT. Explore NLP applications in chatbots, translation, content moderation, and virtual assistants.

Track 04: Computer Vision and Image Processing

Discover how machines interpret visual data using deep learning and classical methods. Topics include image classification, segmentation, object detection, and tracking. Applications span from facial recognition and surveillance to autonomous vehicles and healthcare imaging, supported by OpenCV, YOLO, and other tools.

Track 05: Robotics and Intelligent Systems

This session examines the design and operation of intelligent robots capable of perception, decision-making, and actuation. Learn about path planning, robotic arms, mobile navigation, and AI integration. Real-world applications include warehouse automation, drone navigation, and service robotics in healthcare and industry.

Track 06: Data Mining and Pattern Recognition

Explore techniques for discovering patterns, correlations, and anomalies within large datasets. Learn about association rules, clustering, classification, and outlier detection. This track emphasizes practical applications in market basket analysis, recommendation engines, and fraud detection using tools like R, Python, and Weka.

Track 07: AI in Healthcare and Medical Imaging

Learn how AI supports clinical decision-making, image diagnostics, predictive analytics, and personalized treatment. This track covers deep learning for radiology, AI-assisted surgeries, remote monitoring, and wearable health tech. Ethical considerations and healthcare data privacy will also be discussed in-depth.

Market Analysis: Artificial Intelligence, Data Science, and Robotics

The convergence of Artificial Intelligence (AI), Data Science, and Robotics is accelerating digital transformation across industries. This powerful trio is not only automating routine tasks but also enabling intelligent decision-making, predictive analytics, and autonomous systems that improve productivity, safety, and innovation.

The global AI market is projected to grow from USD 207 billion in 2023 to over USD 1.8 trillion by 2030, driven by machine learning, computer vision, and natural language processing applications. Simultaneously, the data science market—which fuels AI through data-driven insights—is expected to reach USD 322 billion by 2026, with demand from sectors like healthcare, finance, logistics, and e-commerce.

In parallel, the robotics industry is expanding rapidly, projected to exceed USD 225 billion by 2030, with key growth in industrial automation, humanoid robots, autonomous vehicles, and medical robotics. Integrating AI and data science into robotics enables smarter, adaptive systems that can perceive, learn, and interact with environments more intuitively.

Key growth drivers include:

• Surge in smart manufacturing (Industry 4.0)
• Rise of AI-powered analytics platforms
• Expanding use of robotics in agriculture, defense, and eldercare
• Increased investment in AI research and cloud-based data infrastructure

Asia-Pacific dominates robotics innovation, while North America and Europe lead in AI and data science development, supported by significant government funding, research ecosystems, and startup activity.

Together, AI, data science, and robotics are revolutionizing business models and human experiences. From personalized healthcare to autonomous vehicles and smart infrastructure, this integrated technology landscape will shape the future of work, society, and global competitiveness