Call For Papers

The AIDA is a groundbreaking event that unifies the artificial intelligence community by exploring the entire stack of AI research—from foundational hardware and circuit design to cutting-edge algorithms and transformative applications across diverse industries. By fostering dialogue across these traditionally siloed domains, AIDA aims to inspire interdisciplinary innovation and address challenges in AI development, implementation, and ethics. This unique vertical integration will enable researchers, practitioners, and industry leaders to collaboratively envision the future of AI. AIDA will feature dynamic presentations, workshops, and keynotes from world-renowned experts, offering attendees an unparalleled opportunity to dive deep into AI’s foundations while exploring its practical implications. Whether you’re optimizing low-level architecture, advancing algorithms, or building applications in healthcare, climate, or robotics, AISA provides a platform to showcase innovation and foster collaboration.

 

Tracks and Focus Areas

Track 1: Foundations of AI Hardware

  • Focus: Innovations in circuits, chips, and energy-efficient designs that form the computational backbone of AI, including neuromorphic computing, edge AI hardware, and hardware scalability.
  • Chairs:

Track 2: Learning Algorithms & Architectures

  • Focus: Advancing algorithmic and architectural innovations like neural network architectures, reinforcement learning, generative models, transformers, and optimization methods.
  • Chairs:
    • TBA

Track 3: Generalization and Multimodal AI

  • Focus: Developing versatile AI systems capable of working across multiple modalities and domains, with a focus on foundation models, multimodal learning, and lifelong learning.
  • Chairs:
    • TBA

Track 4: Trustworthy, Explainable, and Ethical AI

  • Focus: Building AI systems that are transparent, fair, and robust, addressing interpretability, bias mitigation, adversarial defenses, and ethical compliance.
  • Chairs:
    • TBA

Track 5: Security and Privacy in AI

  • Focus: Ensuring the security and privacy of AI systems through robust algorithms and architectures. Topics include adversarial attacks and defenses, differential privacy, federated learning, cryptographic techniques, and securing AI pipelines from threats.
  • Chairs:
    • Nader Sehatbakhsh (University of California, Los Angeles, USA) – Email: [email protected]
    • Francesco Regazzoni (ALaRI Institute of University of Lugano, Switzerland) – Email: [email protected]

Track 5: AI Applications Across Industries

  • Focus: Exploring AI’s transformative role in industries like healthcare, finance, robotics, creative arts, agriculture, and education while addressing domain-specific challenges.
  • Chairs:
    • Florenc Demrozi (University of Stavanger, Norway) – Email: [email protected]
    • Ioanna Roussaki (National Technical University of Athens (NTUA), Greece) – Email: [email protected]
    •  

Track 6: AI for Social Good and Global Challenges

  • Focus: Leveraging AI to address critical global issues like climate change, disaster response, public health, poverty reduction, and sustainable development.
  • Chairs: