On-location / Digital Conference

International Conference on Artificial Neural Networks in IT (ICANNIT-27)

27th - 28th May 2027,Verona, Italy

In Association With:

Call for Paper


Important Dates


Early Bird Registration

27th Apr 2027

Paper Submission Deadline

2nd May 2027

Registration Deadline

12th May 2027

Conference Date

27th - 28th May 2027

Conference Updates:

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Verona ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Verona conference.
  • Peer Review Process:
    The peer review process will begin soon for Verona conference.
  • Networking with Global Experts:
    Join global experts at our conference in Verona.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICANNIT bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Artificial Neural Networks in IT, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Neural network architectures and applications
  • Deep learning advancements in ANNs
  • Neural networks for image recognition
  • Recurrent neural networks in NLP
  • Neural networks in healthcare diagnostics
  • Training techniques for neural networks
  • Neural network optimization methods
  • Transfer learning in neural networks
  • Neural networks for time series forecasting
  • Ethics in artificial neural networks
  • Neural networks in autonomous systems
  • Applications of GANs in technology
  • Neural networks for anomaly detection
  • Explainable AI in neural networks
  • Neural networks for financial predictions
  • Neural networks in robotics
  • Challenges in neural network deployment
  • Future trends in neural networks
  • Neural networks for social impact
  • Collaborative neural network research

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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