About

AICAS

Artificial Intelligence (AI) is driving a revolution in information technology as well as in many industries. New computing paradigms are required to support the emerging AI algorithms and applications, running on a diversity of platforms, from edge devices to cloud servers and from circuit level to system level. Addressing this challenge and opportunity, the AICAS conference has been established as the premier conference of the IEEE Circuits and Systems Society to promote and facilitate state-of-the-art research, innovation, and development activities at the frontiers of artificial intelligence circuits and systems. It serves as an excellent platform allowing world scholars, technology researchers, and industry to exchange experiences, demonstrate their studies, and further advance AI circuits and systems technologies.

AICAS comes for the first time to Region 8 of IEEE. Abu Dhabi, the venue for AICAS 2024, is a vibrant city featured at the top of safe, clean, and crime-free destinations with cutting-edge technology, infrastructure, and excellent accommodation options. It offers an authentic taste of Arabian culture and heritage and exciting things to do.

The technical program will feature keynote talks, tutorials, regular lecture and poster sessions, special sessions, live demos, and exhibitions. Lecture and poster sessions will be treated equally in terms of review process.

Prospective authors are invited to submit anonymously, via the conference website, 5-page full papers reporting original work. Proposals for special sessions, live demos, and tutorials are welcome.

Prospective authors are invited to submit anonymously, via the conference website, 5-page full papers reporting original work. Proposals for special sessions, live demos, and tutorials are welcome.

The three-day program of AICAS 2024 is multidisciplinary in nature, including but not limited to the following topics:

TOPICS OF INTEREST

  • Advanced neural network designs
  • Emerging devices and materials for AI
  • Architectures for AI computing
  • Autonomous/unmanned vehicles and drones
  • Metaverse and AR/VR.
  • Deep/machine learning AI algorithms
  • Robotics and automation
  • Circuits and systems for AI
  • Tools/platforms for AI
  • Computer vision algorithms and architectures
  • Neuromorphic circuits, processors, and systems and their applications
  • Hardware/software co-design and design automation for AI systems
  • Recommendation systems, language/text processing
  • Deep/machine learning for wireless communications
  • Emerging applications: internet of things, healthcare, smart factories, environment
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