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Publication

Submitted for inclusion in Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, and more.

Indexing

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Get the recognition you deserve with EAI Index:

Paper Submission is now open for the 2nd edition of AICON! Check out the Call for Papers.
Take a look back at the previous edition of AICON here.
AICON 2020 supports revolutionary EAI Community Review, find out more here.
Every author receives EAI Index credits – regardless of acceptance. Learn more about EAI’s Recognition Program here.
Get real feedback on your presentation from other registrants via EAI’s Mobile Compass.

Welcome to the EAI Community

Let the EAI Community help you build your career with collaborative research, objective evaluation, and fair recognition:

  • Extra visibility for your paper and fair review  →  Community Review
  • Get credits to receive membership ranks and global recognition  →  EAI Index
  • Real-time evaluation and feedback on your presentation on-site  →  Mobile Compass

Publication

All accepted and presented papers will be published by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Authors of selected papers will be invited to submit an extended version to:

Additional publication opportunities:

Topics

  • Deep Learning/Machine Learning on Information and Signal Processing
  • AI in Ubiquitous Mobile Wireless Communications
  • AI-based Network Transmission and Traffic Scheduling
  • AI for Security in Communication Networks
  • AI-based Network Intelligence for IoT
  • Recent Advances in AI theory and its applications

About AICON 2020

Recent developments in artificial intelligence (AI) and machine learning, especially in deep learning, has stimulated growing interests to incorporate AI and machine learning into communication systems and networks. While some researchers have advocated applying deep learning tools to communication system (especially receivers) design, others are doubtful as to how much benefits these tools can offer. On one hand, communication systems have been designed and optimized by generations of dedicated efforts for bandwidth, power, and complexity efficiency, and reliability, leaving little room for improvements in most cases. On the other hand, deep learning enabled networks, supported by results such as universal approximation theorem, seem to promise a new and simple design regime where near optimal performance can be achieved by merely using certain ready to use deep learning modules, applying them to communication design problems, and tuning them based on the easily generated training data. The deep learning based approach may offer some new design approaches for traditionally difficult signal processing tasks in communications and networks.

This conference is meant to stimulate the debate and provide a forum for researchers working in related problems to exchange ideas and recent results (both positive and negative ones) in applying artificial intelligence to communications and networks. Both supervised learning and unsupervised learning, reinforcement learning, and recent developments in generative adversarial networks, and game-theoretic setups are also of great interests.

About EAI

This event is organized by EAI.

EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.

EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.

EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.

Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.

Important dates

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Previous AICON editions

2019 – Harbin, People’s Republic of China

Sponsors

 

EAI Institutional Members