September 16-18, 2026, Ha Long Bay, Vietnam

Artificial Intelligence is driving a revolution in information technology and many other industries. New computing paradigms are required to support the emerging AI algorithms and applications running on various platforms, from edge devices to cloud servers and from circuit to system levels. 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. AICAS 2026 is organized in collaboration between IEEE CASS Vietnam and IEEE CASS China, fostering innovation and emerging businesses in one of the highest economic growth regions in the world.

Ha Long Bay, Vietnam

AICAS 2026 will be held in Ha Long Bay, a breathtaking natural wonder that captivates visitors with its beauty and mystique. Famous for its emerald waters and towering limestone pillars, this UNESCO World Heritage site offers a picturesque landscape that feels like something straight out of a dream. With about 2,000 islands and islets scattered across its vast expanse, Ha Long Bay is a haven with the most stunning seascapes in the world.

Paper Submission

Prospective authors are invited to submit full-length papers in a maximum of 5 pages anonymously via the conference website, of which four are for technical content and with an optional 5th page containing only references. Proposals for special sessions, live demos, and tutorials are welcome. Submitted papers must describe original work not submitted to other journals or conferences. Authors are expected to present their papers in person at the conference. While the conference proceedings will be submitted to the IEEE Xplore® digital library, the selected papers will be recommended to the IEEE Transactions on Circuits and Systems for AI or IEEE Transaction on VLSI System for a Special Section.

Topics of Interest

1. In-memory computing
2. Circuits and systems for AI
3. Architecture for AI computing
4. Emerging computing devices and materials for AI
5. Circuits and Systems for neural network-based language modeling
6. Hardware/software co-design and design automation for AI systems
7. Neuromorphic and bioinspired circuits, processors, systems, and their applications
8. Emerging applications: IoT, healthcare, smart factories, environment, robotics, autonomous vehicles, drones, AR/VR, metaverse
9. Computer vision algorithms and architectures
10. AI for Future Wireless Communications
11. AI for Circuits and Systems
12. Compute in Memory