ICARAI · Registering as Listener

International Conference on Augmented Reality with Artificial Intelligence

5th May – 6th May 2027 Al Khobar, Saudi Arabia Standard / Physical Participation
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1.3 Cancellation & Refund Policy

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  • A full refund is applicable only if requested at least 70 days before the conference date, with the cancellation form submitted 60 days prior.
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  • If a participant is unable to attend for personal reasons, the registration fee will not be refunded but will be credited for another conference within one year.
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1.4 Travel and Accommodation Responsibilities

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  • In the event of conference format changes, cancellation, or venue adjustments, IGAE assumes no responsibility for participant-incurred travel or accommodation costs.
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1.5 Transfer of Registration

  • Fully paid registrations can be transferred to another individual from the same institution if the registered person cannot attend. A registration form must be submitted.
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  • Registration can be transferred to another IGAE conference if the registrant cannot attend the originally registered event.
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1.6 Visa Information & Invitation Letter Policy

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1.7 Conference Programme and Participation Policy

  • Where submissions share relevant themes or wider academic value, the Organiser may integrate them across disciplines in interdisciplinary or multidisciplinary sessions that promote diverse viewpoints, knowledge exchange, and professional connections.

To be Noted

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  • Do not book travel arrangements until you receive the official conference program details, which will be sent via email 15 days before the conference.

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Registration summary

ConferenceICARAI
ModeStandard / Physical
ParticipationListener
Registration fee$0.00
Bank charges (5.8%)$0.00
Coupon discount-$0.00
Total payable$0.00

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IGAE conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 4 – Quality Education SDG 8 – Decent Work and Economic Growth SDG 9 – Industry, Innovation and Infrastructure SDG 11 – Sustainable Cities and Communities

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Benefits of Registering as Listener

Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions

Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the development and implementation of novel AI frameworks that enhance augmented reality applications. Participants will explore how these frameworks can optimize user experiences and improve system performance.

This session will delve into the application of machine learning techniques in the realm of immersive technologies. Attendees will discuss case studies and methodologies that demonstrate the effectiveness of these techniques in AR environments.

This track emphasizes the role of predictive analytics in augmenting the functionality of AR systems. Researchers will present findings on how predictive models can enhance user interaction and system adaptability.

This session will explore the integration of automation technologies within augmented reality applications. Discussions will center on the benefits and challenges of automating processes to improve efficiency and user engagement.

This track investigates the application of deep learning methodologies in the development of intelligent systems for augmented reality. Participants will share insights on how deep learning can drive innovation and enhance system capabilities.

This session will focus on the utilization of data analytics to create AI-driven augmented reality experiences. Presenters will discuss techniques for analyzing user data to inform design and functionality.

This track addresses strategies for optimizing systems that integrate augmented reality and artificial intelligence. Researchers will present their findings on improving performance, scalability, and user satisfaction.

This session will highlight practical applications of AI in real-world augmented reality scenarios. Participants will examine case studies that showcase the transformative impact of AI on AR solutions.

This track will explore innovative strategies for effectively integrating augmented reality with artificial intelligence. Discussions will focus on collaborative approaches that enhance technological synergy.

This session will emphasize the importance of user-centric design principles in the development of AI-enhanced AR systems. Presenters will share methodologies for ensuring that user needs and experiences are prioritized.

This track will examine emerging trends and future directions in the intersection of augmented reality and artificial intelligence. Experts will discuss potential advancements and their implications for various industries.

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