International Summit on Robotics, Artificial Intelligence & Machine Learning (ISRAI 2027)

The International Summit on Robotics, Artificial Intelligence & Machine Learning (ISRAI 2027) brings together global experts to explore transformative advancements in robotics, artificial intelligence, and machine learning.

Key Topics

• Cloud, edge and distributed AI for robotics
• Healthcare robotics and AI in life sciences
• Safe, ethical and robust AI in robotics
• Deep learning and generative models for robotics
• Smart materials and sensors in robotics
• Predictive maintenance and AI for reliability
• AI for logistics, drones and delivery robotics
• AI and robotics for space exploration
• Computer vision and robotic perception
• Swarm and collective robotics
• AI in autonomous vehicles and navigation
• Adaptive and neuro-inspired robotics
• AI in agriculture, environment, and underwater robotics
• Machine learning models for robotics
• Democratization of AI and policy implications
• AI and machine learning in biomedical and healthcare applications
• Quantum and edge AI in robotics
• Robotics in elderly and assisted living care
• Autonomous systems and smart machines
• Signal processing and control mechanisms
• Human-centered AI and robot ethics
• AI-driven simulation and digital twins
• Artificial intelligence in multidisciplinary domains
• AI in industrial and smart manufacturing
• Natural language processing and chatbots
• Quantum computing and machine learning
• AI in environmental sustainability and robotics
• Biomedical engineering and surgical robotics
• Data mining, cybersecurity and AI ethics
• AI for image, speech and video recognition
• Future of robotics and emerging technologies
• Personalized and context-aware robotics
• Cognitive, social and human-robot interaction
• Neural and recurrent networks in robotics
• Disaster management and robotics in hazardous environments
• AI and ML in robotics: trends and innovations
• Role of AI in material science and engineering
• Transfer, reinforcement and ensemble learning
• Intelligent systems for rare disease diagnosis and management
• Space and underwater robotics with AI
• Robotic process automation and decision intelligence
• Grid, mobile and evolutionary computing in AI
• Algorithms and sensor networks in robotics

Who should Attend

• Healthcare technology developers
• Government and regulatory stakeholders
• Academic researchers and scholars
• Industry R&D professionals
• AI and robotics engineers
• Technology investors and strategists
• Data scientists and machine learning experts
• Startups in automation and AI domains
• Educators and technical trainers
• Robotics product designers