International Conference on Machine Learning, Artificial Intelligence and Data Science (ICMLAIDS 2026)

 March 20–21, 2026 | Orlando, Florida, USA (Virtual & In-Person Options)

The International Conference on Machine Learning, Artificial Intelligence, and Data Science (ICMLAIDS 2026) is a leading global forum for advancing research and collaboration across intelligent systems, data science, and machine learning. Organized by SRC Meetings, this prestigious event brings together researchers, academics, industry practitioners, and innovators to explore breakthroughs shaping the future of AI and data technologies.

Conference Theme

“Synergizing Intelligence: Innovations and Integrations Across Machine Learning, AI, and Data Science for a Smarter Tomorrow.”

This theme highlights how cutting-edge research and interdisciplinary integration can accelerate intelligent technologies across industries—from healthcare and finance to smart systems and sustainability.

Why Attend ICMLAIDS 2026?

Whether you are an academic researcher, industry professional, or graduate student, ICMLAIDS offers a rich platform for learning, sharing, and networking:

✔ Present Your Research: Opportunities to showcase full research papers, work-in-progress, and posters.
✔ Keynotes & Panels: Learn from global experts in machine learning and AI.
✔ Networking: Connect with fellow scientists, engineers, and decision-makers.
✔ Publication Potential: Selected papers may be considered for SCOPUS-indexed journals and reputable conference proceedings.
✔ Hybrid Participation: Attend in-person in Florida, USA, or join virtually from anywhere in the world.

Participants will also receive certificates accredited with continuing professional development (CPD) credits, adding value to professional portfolios and academic records.

Core Topics & Conference Scope

ICMLAIDS 2026 covers a broad spectrum of topics at the intersection of intelligent computing and data science, including:

• Machine Learning & Neural Networks

• Natural Language Processing & Language Models

• Big Data Analytics & Cloud Computing

• Ethics, Fairness & Explainable AI

• AI in Healthcare, Finance & Business Intelligence

• Robotics, IoT & Autonomous Systems

• AI for Social Good & Sustainability

• Generative AI & Reinforcement Learning

These sessions are designed to encourage interdisciplinary dialogue and innovation.

Featured Speakers

The conference features a diverse international lineup of keynote and session speakers from academia and industry. Notable contributors include:

• Aladin Djuhera – Keynote Speaker, USA

• Tim Tarver – Keynote Speaker, USA

• Jyoti Kunal Shah – Keynote Speaker, USA

• Manish Kumar Gupta – Session Speaker, India

• Ana Gvaramadze – Session Speaker, Georgia

• Megha Rathi – Session Speaker, India

These experts bring deep insights into emerging AI research, real-world applications, and future technological trends.

Submission & Participation

Researchers and practitioners are invited to submit their original contributions—ranging from complete research studies to work-in-progress reports and posters. All submissions undergo a rigorous peer review by the International Technical Committee.

Selected submissions may be considered for publication in reputable SCOPUS-indexed journals or conference proceedings.

Key dates include abstract and paper submission deadlines leading up to the conference, with registration options for both in-person and virtual participation.

Final Thoughts

In an era where AI, machine learning, and data science are reshaping virtually every sector, ICMLAIDS 2026 stands out as a valuable meeting point for ideas, innovation, and collaboration. Whether you’re advancing fundamental theory or deploying applied solutions, this conference provides the platform to learn, connect, and inspire.

If you’re ready to expand your research horizons and engage with a global community of AI thought leaders, ICMLAIDS 2026 is an event you won’t want to miss.