会議情報

CAI' 2026: IEEE Conference on Artificial Intelligence

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提出日:
2025-11-30
通知日:
2025-12-15
会議日:
2026-05-08
場所:
Granada, Spain
閲覧: 2875   追跡: 0   出席: 0

論文募集

CAI' 2026 (IEEE Conference on Artificial Intelligence) is an academic conference held in Granada, Spain on 2026-05-08. The paper submission deadline is 2025-11-30. Acceptance notifications are sent on 2025-12-15.

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 will 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 8 – 10 May 2026 at the beautiful Granada Conference Centre, Granada, Spain. Vertical Areas Healthcare and Life Sciences 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. Human-robot collaboration Explore AI-driven systems enabling seamless collaboration between humans and robots, enhancing productivity, safety, and decision-making across diverse environments. Sustainable and Trustworthy AI 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. Multimedia and Virtual Reality and Teleoperation Discover AI innovations reshaping multimedia, immersive virtual environments, and remote control systems—enabling smarter content interaction, realistic simulations, and enhanced telepresence. Business Intelligence / Finance Uncover how AI is transforming finance and business intelligence through algorithmic trading, fraud detection, risk assessment, and real-time strategic decision-making. Generative AI Models, AI in Education and Agentic AI Delve into the forefront of AI with generative models and autonomous agents, driving creativity, problem-solving, and adaptive decision-making in dynamic environments.
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関連仕訳帳

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