We are pleased to invite you to submit your original research papers to the 2nd International Conference on Revolutionary Artificial Intelligence and Future Applications (Rev-AI 2027), taking place June 22–25, 2027, in Bucharest, Romania, in a hybrid format.

The Rev-AI 2027 welcomes research, experience, and vision papers exploring foundational methods, systems, and applications at the intersection of AI and cybersecurity.

The Rev-AI 2027 Conference is the premier global event convening pioneering researchers, industry leaders, and visionary innovators to explore the frontier of artificial intelligence. This four-day conference, set in the dynamic and innovative city of Bucharest, will showcase paradigm-shifting research, transformative applications, and collaborative dialogues on the technologies that are redefining the future of intelligence. Attendees will have the unparalleled opportunity to engage with the minds spearheading the AI revolution, and network with a global community of experts. From foundational models that rethink cognition to AI-driven solutions for humanity's greatest challenges, REV-AI 2027 promises a comprehensive expedition into the next era of artificial intelligence.

Don't miss this unparalleled opportunity to be at the epicenter of the next AI revolution. We invite submissions on all topics related to revolutionary AI, with a special interest in, but not limited to:

• Foundational & Revolutionary AI Models
• Next-Generation Architectures (e.g., beyond Transformers, State Space Models, Neuro-Symbolic AI)
• AI for Scientific Discovery (AI4Sci)
• Causal AI & Reasoning
• Embodied AI and Active Perception
• Foundation Models for Multimodal Understanding
• Theoretical Limits of AI
• Generative AI, Large Language Models (LLMs), and Agentic AI
• Machine Learning, Deep Learning, and Federated Learning
• Next-Generation AI Architectures and Foundation Models
• Efficient AI, LoRA, QLoRA, and Model Optimization
• Cybersecurity, Privacy, and Trustworthy Systems
• Edge AI, Cloud Computing, and Internet of Things (IoT)
• Natural Language Processing and Multimodal AI
• Human-AI Collaboration and AI-Driven Education
• AI Applications in Healthcare, Industry, and Smart Systems
• Adversarial Machine Learning and AI Security
• Innovations in AI Algorithm Development
• Natural Language Processing (LNP)
• Augmented Reality (AR), Virtual Reality (VR), and Extended reality (XR)
• Developing Trustworthy and Reliable AI Systems
• Intelligent Intrusion Detection Systems for Internet of Things (IoT) Applications
• Network Forensics Leveraging Intelligent Systems and Data Analytics
• Data Analytics Approaches for Privacy-by-Design in Smart Healthcare Systems
• Datasets, Benchmarks, and Open-Source Tools for Cybersecurity Applications
• Efficient Deep Learning Techniques for Resource-Constrained Environments
• Adversarial Machine Learning and Mitigation of Backdoor Attacks
• Blockchain Technologies for Strengthening Cybersecurity Frameworks
• Advanced Intelligent Solutions and Data Analytics for Enhancing Cloud and Edge Security
• Malware Detection and Vulnerability Assessment Using Intelligent Systems
• Intelligent Approaches for Detecting and Mitigating Misinformation
• Intelligent Systems for Detecting Cyber-Attacks Effectively