Scope
The capabilities of computers based on the von-Neumann architecture and the scaling of circuits have become increasingly uncertain in addressing the exponentially growing demand for computers driven by the rapid evolution of artificial intelligence. This has led to growing interest in various kinds of computers based on new operating principles, such as biological and physical systems, as well as emerging devices. The objective of this symposium is to provide an opportunity to discuss the future of computing by a variety of researchers studying unconventional computers. The symposium will be constructed by multidisciplinary sessions consisting of speakers from different fields and focused sessions for silicon technologies, spintronics, and neurobiocomputing.
Topics of interest include:
- Artificial intelligence
- Biocomputing
- Brain computer
- Brain imaging
- Brain-machine interfaces
- Cultured neuronal networks
- Computational neuroscience
- Emerging devices
- Machine learning
- Neural data analysis
- Neural networks
- Neurodynamics
- Neuroengineering
- Neuromorphic/Brainmorphic computing
- Neuromorphic/Brainmorphic hardware
- Neuroscience
- Probabilistic computing
- Quantum (simulated quantum) computing
- In/near memory computing
- Reservoir computing
- Spintronics
Invited Speakers (tentative)
- John M. Beggs
Computational and systems neuroscience
(Indiana Univ., USA) - Giacomo Indiveri
Neuromorphic engineering
(Univ. Zurich / ETH Zurich, Switzerland) - Tsukasa Kamigaki
Neuropsychology
(Nanyang Tech. Univ., Singapore) - Timothée Levi
Biocomputing
(Univ. Bordeaux, France) - Toshiaki Omori
Statistical machine learning
(Kobe Univ., Japan) - Jordi Soriano
Cultured neuronal networks
(Univ. Barcelona, Spain)
Important Notice
This symposium will be held in a hybrid format. Oral sessions will be broadcasted live via Zoom Meeting, and participants can choose to join either onsite or online. Poster sessions will be held only at the onsite venue. Poster presenters are required to attend onsite.
Important Dates
- Abstract Submission DeadlineDecember 26th, 2025
- Acceptance Notification*January 9th, 2026 *For those who want to receive the acceptance notification as early as possible for the VISA application etc., the decision can be made within 10 days after the abstract submission upon a request.
- Non-Author RegistrationJanuary 16th, 2026 (for onsite participants)
- Non-Author RegistrationFebruary 28th, 2026 (for online participants)
- Symposium DatesFebruary 27th - 28th, 2026
