Welcome to NextGenAI 2027: Generative AI, Agentic AI, Edge AI & Intelligent Systems
Theme: "Intelligence Beyond Boundaries: Advancing Generative AI, Autonomous Agents, Edge Intelligence, and Intelligent Systems for a Smarter Future"
22-23, April 2027 in Crowne Plaza Orlando Lake Buena Vista, Orlando, Florida, USA
"All registered participants of Scientific Research Conferences 2027 will receive a Certificate of Attendance accredited with 10 CPD Credits."
About the Conference
NextGenAI 2027: Generative AI, Agentic AI, Edge AI & Intelligent Systems is a premier international conference bringing together leading AI researchers, computer scientists, industry professionals, technology innovators, data scientists, software engineers, academicians, policymakers, entrepreneurs, and students to explore the latest breakthroughs shaping the future of artificial intelligence.
The conference provides a multidisciplinary platform for presenting cutting-edge research, technological innovations, practical applications, and collaborative opportunities across Generative AI, Agentic AI, Edge AI, Large Language Models, autonomous systems, machine learning, robotics, intelligent automation, and next-generation intelligent systems.
The conference will be conducted in a hybrid format, allowing participants to attend physically in , or virtually from anywhere in the world.
Important Dates
Abstract Submission Deadline: January 15, 2027
Early Bird Registration Deadline: Nov 18, 2026
Conference Dates: 22-23, April 2027
Conference Topics
The conference welcomes original research and innovations in, but not limited to:
- Generative Artificial Intelligence
- Agentic AI & Autonomous AI Systems
- Edge AI & Edge Computing
- Large Language Models (LLMs)
- Foundation Models
- AI Agents & Multi-Agent Systems
- Intelligent Systems & Autonomous Computing
- Machine Learning & Deep Learning
- Reinforcement Learning
- Natural Language Processing
- Computer Vision
- Explainable & Responsible AI
- AI Ethics & Governance
- AI Security & Privacy
- Federated Learning
- Human-AI Collaboration
- Robotics & Intelligent Automation
- Digital Twins
- AI for Healthcare
- AI in Manufacturing & Industry 4.0
- AI for Smart Cities
- AI in Finance & FinTech
- AI in Education
- AI in Cybersecurity
- AI for Climate & Sustainability
- Intelligent IoT Systems
- Edge Robotics
- AI Hardware & Accelerators
- Cloud AI Infrastructure
- Quantum AI
- Autonomous Vehicles
- AI Applications in Business
- Predictive Analytics
- Data Science & Big Data
- Future Intelligent Computing Systems
Why Attend?
Participants will have the opportunity to:
- Present innovative AI research and emerging technologies.
- Learn from internationally recognised AI experts and industry leaders.
- Network with researchers, universities, technology companies, and policymakers.
- Explore the latest developments in Generative AI, Agentic AI, and Edge Intelligence.
- Build international collaborations and research partnerships.
- Publish research in conference proceedings and selected journals.
Benefits of Attending
- International recognition and professional visibility
- Keynote lectures by globally renowned AI experts
- Scientific symposiums and panel discussions
- Hands-on discussions on emerging AI technologies
- Global networking opportunities
- Research collaborations and institutional partnerships
- Publication opportunities
- Abstract publication in the Conference Proceedings Book
- Industry exhibitions showcasing AI solutions and intelligent technologies
- Sponsorship and investment opportunities
- CPD-accredited participation certificate
Call for Papers
Researchers, AI scientists, engineers, software developers, industry professionals, academicians, students, startups, and technology innovators are invited to submit original research contributions.
We welcome submissions including:
- Full Research Papers
- Short Papers
- Work-in-Progress Papers
- Industry Case Studies
- Technical Demonstrations
- Posters
- AI Application Showcases
All submissions will undergo a rigorous peer-review process conducted by the International Scientific Committee.
Indexing & Publication
Accepted abstracts will be published in the official Conference Proceedings.
Selected full papers will be considered for publication in reputable indexed journals and conference proceedings (Terms & Conditions apply), providing international academic visibility and dissemination.
Honorarium
Honorariums will be offered to selected keynote and invited speakers.
To qualify, speakers are required to secure a minimum of five paid registrations from students, colleagues, institutional collaborators, or professional networks. Honorarium amounts will vary according to the number of confirmed registrations.
Travel
Due to limited funding, the conference is unable to sponsor travel or accommodation expenses. Participants are kindly requested to arrange their own travel and accommodation.
Important Note
This conference is organised independently by Scientific Research Conferences. Registration fees support conference logistics, venue arrangements, conference materials, networking activities, participant services, and publication management.
Venue
Crowne Plaza Orlando Lake Buena Vista, Orlando, Florida, USA
Contact Information
For enquiries regarding the conference, please contact:
Email: Intelligentsystems@srcconferences.org ,nextgenai-2027@srcconferences.net
Register Now
Join AI researchers, engineers, technology innovators, industry leaders, entrepreneurs, policymakers, and academicians from around the world at NextGenAI 2027.
Be part of the global movement advancing Generative AI, Agentic AI, Edge AI, Intelligent Systems, and the future of artificial intelligence.
Preliminary Scientific Programme
NextGenAI 2027
Day 1 – 19 April 2027
Generative AI, Foundation Models & Intelligent Systems
09:00 – 09:30 | Opening Ceremony & Welcome Address
Conference inauguration, introduction to the conference vision, and overview of emerging trends in artificial intelligence.
09:30 – 10:30 | Keynote Session: The Future of Generative AI and Foundation Models
Latest advances in LLMs, multimodal AI, foundation models, and intelligent content generation.
10:30 – 11:00 | Coffee Break & Networking
11:00 – 12:00 | Session: Agentic AI & Autonomous Intelligent Systems
AI agents, autonomous decision-making, multi-agent collaboration, and intelligent automation.
12:00 – 13:00 | Session: Edge AI, IoT & Intelligent Computing
Edge intelligence, embedded AI, distributed learning, smart devices, and intelligent edge infrastructure.
13:00 – 14:00 | Lunch Break
14:00 – 15:00 | Session: Machine Learning, Deep Learning & Computer Vision
Advanced learning algorithms, neural networks, image understanding, and visual intelligence.
15:00 – 16:00 | Session: Responsible AI, Ethics & AI Governance
Explainable AI, fairness, transparency, AI regulations, privacy, and trustworthy AI.
16:00 – 16:30 | Coffee Break
16:30 – 17:30 | Session: AI Applications Across Industries
Healthcare, finance, manufacturing, education, cybersecurity, agriculture, and smart cities.
17:30 – 18:30 | Poster Session & Networking
Presentation of innovative AI research, intelligent systems, robotics, autonomous technologies, and emerging applications.
Day 2 – 20 April 2027
Agentic AI, Edge Intelligence & Future Intelligent Systems
09:00 – 10:00 | Keynote Session: Autonomous AI and the Future of Intelligent Systems
Autonomous agents, cognitive AI, adaptive intelligence, and future intelligent ecosystems.
10:00 – 11:00 | Session: Large Language Models & Multimodal AI
Advanced language models, multimodal intelligence, reasoning, AI assistants, and enterprise AI.
11:00 – 11:30 | Coffee Break & Networking
11:30 – 12:30 | Session: AI Security, Privacy & Trustworthy Systems
AI safety, adversarial learning, secure AI deployment, privacy-preserving AI, and governance.
12:30 – 13:30 | Session: Robotics, Intelligent Automation & Digital Twins
Industrial robotics, autonomous systems, digital twins, simulation, and smart manufacturing.
13:30 – 14:30 | Lunch Break
14:30 – 15:30 | Session: Edge AI, Cloud AI & Future Computing Platforms
Distributed AI, AI chips, cloud-edge collaboration, next-generation computing architectures, and AI infrastructure.
15:30 – 16:30 | Session: Emerging AI Technologies
Quantum AI, neuromorphic computing, AGI research, intelligent robotics, autonomous mobility, and future AI innovations.
16:30 – 17:00 | Coffee Break
17:00 – 18:00 | Industry Panel: Academia–Industry Collaboration for Responsible AI Innovation
Discussion among researchers, universities, technology companies, startups, policymakers, and industry leaders on accelerating responsible AI innovation and real-world adoption.
18:00 – 18:30 | Closing Remarks & Awards
Conference summary, recognition of keynote speakers, outstanding oral and poster presentations, and announcements for future editions of NextGenAI.
Conference sessions
Browse the current session list for NextGenAI 2027: Generative AI, Agentic AI, Edge AI & Intelligent Systems.
Future of Human-AI Partnership in Healthcare
This forward-looking session explores emerging trends shaping the future of healthcare through collaborative intelligence. Topics include autonomous clinical assistants, multimodal AI, digital twins, ambient intelligence, collaborative healthcare ecosystems, AI governance, and next-generation human-AI partnerships that enhance healthcare delivery while keeping clinicians at the center of care.
Human-AI Collaboration for Smart Hospitals and Healthcare Operations
This session examines AI-enabled hospital management and collaborative healthcare ecosystems. Topics include intelligent scheduling, resource optimization, patient flow management, clinical workflow automation, digital hospitals, healthcare operations analytics, and AI-assisted administrative decision-making.
Ethical, Explainable and Responsible AI in Healthcare
This session addresses the ethical and regulatory aspects of AI in medicine, including transparency, explainable AI (XAI), fairness, bias mitigation, privacy protection, patient consent, regulatory compliance, and trustworthy deployment of AI technologies in healthcare systems.
AI for Remote Patient Monitoring and Digital Health
This session explores AI-powered remote healthcare technologies, wearable devices, Internet of Medical Things (IoMT), telemedicine, mobile health applications, predictive patient monitoring, chronic disease management, and continuous health assessment using intelligent analytics.
Intelligent Healthcare Robotics and Human-Centered Care
This session focuses on healthcare robotics designed to assist clinicians, caregivers, and patients. Topics include surgical robotics, rehabilitation systems, assistive robots, elderly care, collaborative robots (cobots), robotic nursing support, and human-centered interaction in clinical environments.
AI for Drug Discovery, Genomics and Biomedical Research
This session highlights AI-driven innovations in drug discovery, protein structure prediction, genomics, bioinformatics, computational biology, biomarker identification, and precision therapeutics. Researchers will discuss how AI accelerates biomedical research and pharmaceutical development.
Generative AI and Large Language Models in Healthcare
This session explores the use of Generative AI and Large Language Models (LLMs) for clinical documentation, medical knowledge retrieval, patient communication, healthcare education, research assistance, and intelligent virtual health assistants while addressing safety, privacy, and regulatory challenges.
Human-AI Collaboration in Clinical Decision Support
This session examines how clinicians and AI systems can work together to improve healthcare decision-making. Topics include explainable AI, physician-AI collaboration, shared decision support, workflow integration, trust in AI recommendations, and enhancing patient safety through collaborative intelligence.
Medical Imaging, Computer Vision and AI-Assisted Diagnostics
This session focuses on AI applications in medical imaging, including image segmentation, disease detection, radiology, pathology, ophthalmology, dermatology, and automated diagnostic systems. Discussions will highlight deep learning models, computer vision techniques, and clinical validation of AI-assisted diagnosis.
AI-Driven Precision Medicine and Personalized Healthcare
This session explores how artificial intelligence is transforming precision medicine through personalized diagnostics, treatment planning, genomic analysis, and predictive healthcare. Topics include AI-powered clinical decision support, individualized therapies, biomarker discovery, and precision health strategies that improve patient outcomes.
AI Applications Across Industries
Showcases cross-sector AI innovations in agriculture, retail, logistics, telecommunications, media, energy, government, defense, and public services. This session emphasizes practical implementations, real-world case studies, and emerging opportunities for intelligent systems across diverse industries.
AI Startups, Innovation & Entrepreneurship
Discusses commercialization of AI technologies, startup ecosystems, technology transfer, venture capital, AI product development, innovation management, and industry-academia collaboration.
Emerging Trends in Artificial General Intelligence (AGI) & Future AI
Provides insights into the future of AI, including Artificial General Intelligence, self-improving systems, cognitive architectures, neuromorphic computing, quantum AI, and the long-term societal impact of intelligent systems.
Generative AI for Software Engineering & Intelligent Development
Explores AI-assisted software development, automated code generation, software testing, DevOps automation, AI pair programming, software quality assurance, and intelligent system engineering.
AI for Sustainability, Climate & Environmental Intelligence
Focuses on AI solutions for climate modeling, renewable energy optimization, environmental monitoring, precision agriculture, biodiversity conservation, carbon management, and sustainable development.
AI for Education, Research & Knowledge Systems
Highlights AI-enabled education technologies, adaptive learning platforms, intelligent tutoring systems, research automation, academic analytics, scientific discovery, and personalized learning environments.
AI in Finance, Business & Digital Transformation
Examines AI applications in banking, fintech, insurance, investment analytics, customer intelligence, business automation, intelligent decision-making, and enterprise digital transformation.
AI for Smart Cities, Transportation & Urban Intelligence
Discusses AI applications in intelligent transportation systems, smart infrastructure, urban planning, traffic optimization, energy management, public safety, and sustainable city development.
Intelligent Data Science and Predictive Analytics
Explores advanced data analytics, machine learning pipelines, predictive modeling, data engineering, knowledge discovery, business intelligence, and AI-driven decision support systems.
AI Infrastructure, Cloud AI & High-Performance Computing
Focuses on scalable AI infrastructure, cloud-native AI, distributed computing, GPU acceleration, AI model deployment, MLOps, federated learning, and next-generation computing platforms.
Responsible AI, Ethics & AI Governance
Addresses ethical AI development, fairness, transparency, explainability, bias mitigation, AI regulations, governance frameworks, responsible innovation, and global AI policy developments.
AI in Cybersecurity, Privacy & Digital Trust
Examines AI-powered cybersecurity solutions, threat intelligence, fraud detection, privacy-preserving AI, adversarial machine learning, secure AI deployment, identity management, and cyber resilience.
Intelligent Robotics and Autonomous Systems
Covers intelligent robots, autonomous vehicles, drones, robotic perception, motion planning, reinforcement learning, swarm robotics, and collaborative robotics for industrial and service applications.
AI for Smart Manufacturing and Industry 5.0
Explores AI-driven industrial automation, predictive maintenance, digital twins, intelligent robotics, quality inspection, supply chain optimization, and human-AI collaboration in next-generation manufacturing.
AI for Healthcare, Life Sciences & Precision Medicine
Highlights AI applications in medical imaging, diagnostics, clinical decision support, drug discovery, genomics, personalized medicine, healthcare robotics, and predictive healthcare systems.
Multimodal AI and Human-Centered Intelligence
Discusses AI systems capable of understanding text, images, speech, video, and sensor data simultaneously. Topics include multimodal learning, human-AI interaction, digital assistants, accessibility technologies, and intelligent user experiences.
Large Language Models (LLMs) and Foundation Models
Explores the architecture, optimization, fine-tuning, retrieval-augmented generation (RAG), domain-specific LLMs, prompt engineering, model evaluation, and emerging foundation models for scientific, industrial, and commercial applications.
Edge AI and Intelligent Edge Computing
Examines AI deployed directly on edge devices for real-time intelligence. Topics include edge inference, TinyML, embedded AI, IoT intelligence, smart sensors, autonomous devices, and reducing latency through distributed AI processing.
Agentic AI and Autonomous Intelligent Systems
Focuses on AI agents capable of autonomous reasoning, planning, decision-making, and task execution. Topics include multi-agent collaboration, AI assistants, autonomous workflows, self-learning systems, and practical applications of Agentic AI in research, business, healthcare, and manufacturing.
Generative AI: Models, Applications & Future Innovations
This session explores the latest advancements in Generative AI, including Large Language Models (LLMs), multimodal AI, diffusion models, image and video generation, AI-powered content creation, and enterprise applications. Discussions will focus on emerging research, responsible deployment, and the future of generative intelligence across industries.
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Featured speakers
Vivek Chaurasiya
Keynote SpeakerVivek Chaurasiya is a Staff Software Engineer with over 12 years of experience building large-scale distributed systems, recommendation platforms, and AI infrastructure. He has led high-impact engineering initiatives...
Organizing committee members
Fernando Koch
OCMDr. Fernando Koch is an AI architect and researcher working on how AI-driven organizations can operate as unified intelligences that combine human and artificial reasoning. His research turns frontier AI into enterpri...
Crowne Plaza Orlando Lake Buena Vista
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NextGenAI 2027: Generative AI, Agentic AI, Edge AI & Intelligent Systems
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