Call for Papers: IEEE Conference on Artificial Intelligence (IEEE CAI)

5-7 May 2025 | Santa Clara, California, USA
Share this on:
Submissions Due: Various
  • Workshop & Panels proposal deadline: 1 November 2024
  • Tutorial proposal deadline: 1 December 2024
  • Panel proposal deadline: 6 January 2025
  • Research and industry paper submission deadline (2 pages max): 1 December 2024 15 January 2025
  • Acceptance notifications and reviewers’ comments: 1 March 2025
  • Final Camera-Ready copy deadline: 7 March 2025

Conference Date: 5-7 May 2025


IEEE Conference on Artificial Intelligence (IEEE CAI)

The IEEE Conference on Artificial Intelligence (IEEE CAI) is an international conference and exhibition with an emphasis on the applications of AI and key AI verticals that impact industrial technology applications and innovations. You’ll learn about new research and breakthroughs in the industry, gain insight into new start-ups and leading AI companies, grow your network, and get inspired by the brightest minds working in the multi-faceted fields. Plan now to attend this highly anticipated spectacular event, taking place May 5-7, 2025 in Santa Clara, CA.

View More

View Full Call for Paper


Papers submittals for Posters, Workshops, and Panel Proposals

CAI 2025 seeks original, high-quality technical papers, presentations, and proposals describing the research and results that contribute to advancements in the following AI applications and verticals. We also welcome paper submission(s) that are not confined to the topics mentioned in the vertical tracks listed below.

 

AI in Transportation/Aerospace

Focus includes the optimal design of aerospace systems using AI; large- and small-scale transportation systems; deep learning for autonomous driving; and autonomous decision making in long-term space flight management.

AI and Sustainability

Employ AI to optimise resource usage, reduce waste, and support renewable energy initiatives. It leverages AI’s problem-solving capabilities to address environmental challenges and contribute to a sustainable future.

AI in Healthcare and Life Science

Explore the need for improved decision-making to assist medical practitioners as well as additional medical issues including personnel allocation and scheduling, automated sensing, improved medical devices and manufacturing processes, and supply chain optimisation.

AI in Engineering & Manufacturing

Explore cutting-edge AI applications revolutionizing engineering and manufacturing, from predictive maintenance to smart factory automation.

AI in Business Intelligence

Uncover how AI is transforming business intelligence, from predictive analytics to automated reporting.

AI in Human-Centered AI

Learn about AI technologies designed with a human-centered approach, enhancing user experience and ethical considerations.

AI Quality Assurance and Standards

Establishing standards and quality assurance protocols for consistent and reliable AI systems.

AI in Robotics & UAV

Delve into the latest AI advancements in robotics and UAVs, from autonomous navigation to advanced task automation.

Foundation Models and Generative AI

Delve into the power of foundation models and generative AI, leveraging knowledge representation, crossing modality gaps, and reshaping data generation. It harnesses generative AI to innovate and ensure robustness, fairness, transparency, while understanding the challenges in deploying the foundation models.

AI in Computer Vision

Investigate state-of-the-art AI applications in computer vision, from image recognition to real-time video analytics.

AI in Security & Safety

Explore advanced AI technologies enhancing security and safety, ensuring explainability, and building trustworthiness in various applications, from threat detection to transparent decision-making.

 

Papers accepted by IEEE CAI will be submitted to the IEEE Xplore ® Digital Library. Selected high-quality papers will be further invited for submission to a journal special issue.