+1 7178835943 [email protected]
Hybrid Event (In-person or Virtual participation)

International Conference on Artificial Intelligence in Communication · Registering as Listener

ICAIC
📅 17 – 18 Mar 2027 📍 Montego Bay, Jamaica 👥 Standard / Physical Participation
Listener Registration From
$150
Registration Benefits:
Official invitation letterIssued automatically after registration
🎖 Certificate & digital materialsGet certificate, slides and resource materials
🌐 Supporting global researchConnect with researchers across 30+ countries

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

All sessions Networking Certificate Invitation letter Conference kit

Your details

We only need what's required to register and email your confirmation. Everything else is optional.

Coupon Code (If Any)

Have a code? Apply it here — the discount updates the total immediately.

🏷

For Support Please Contact

VISAMASTERCARDNET BANKINGUPI

Payments encrypted & processed securely. Refundable up to 14 days before the event.

Registration summary

ConferenceInternational Conference on Artificial Intelligence in Communication
ModeStandard / Physical
ParticipationListener
Registration fee$150.00
Bank charges (5.8%)$8.70
Total payable $158.70

Includes all bank processing charges — the amount above is exactly what will be charged.

Need help?

Contact our registration team:

📞 +91 93445 35349

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 •
SDG

SDG-Aligned Research Themes

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

SDG 9 SDG 11 SDG 16

This track explores innovative strategies for integrating artificial intelligence into communication practices. It aims to discuss the implications of AI on communication efficiency and effectiveness across various media.

This session focuses on the application of AI methodologies to enhance network performance and resource management. Participants will examine case studies and theoretical frameworks that demonstrate AI's role in optimizing communication networks.

This track delves into the application of AI techniques in analyzing and managing complex communication networks. It will highlight the challenges and solutions associated with using AI in network optimization and fault diagnosis.

This session addresses the future landscape of communication systems enhanced by AI technologies. Discussions will focus on emerging trends and the potential impact of AI on communication infrastructures.

This track investigates the role of AI in shaping social networks and enhancing user interactions. It will cover methodologies for data analysis and the implications of AI-driven insights on social media platforms.

This session explores the intersection of AI and media technologies, examining how AI can transform content creation and distribution. Participants will discuss innovative applications and the ethical considerations of AI in media.

This track focuses on the integration of AI solutions in network management practices. It aims to present advancements in network monitoring, configuration, and fault diagnosis through AI methodologies.

This session emphasizes the use of simulation models to study AI's impact on communication systems. Participants will explore various modeling techniques and their applications in predicting network behavior.

This track examines the role of AI in facilitating decentralized communication systems. Discussions will focus on the benefits and challenges of implementing AI in decentralized network architectures.

This session highlights various AI methodologies that address communication and network optimization problems. Participants will share insights on practical applications and theoretical advancements in this area.

This track explores the concepts of negotiability and evolution within AI-driven communication networks. It aims to discuss how AI can adapt to changing network conditions and user requirements over time.

COPYRIGHT © 2026 ISAR. ALL RIGHTS RESERVED