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 neural networks
• Asynchronous circuits
• Biocomputing
• Brain computer
• Brain imaging
• Brain-machine interfaces
• Cultured neuronal networks
• Computational neuroscience
• Data analysis
• Emerging devices for unconventional computers
• Machine learning
• Neural hardware
• Neurodynamics
• Neuromorphic computing
• Probabilistic computing
• Quantum (simulated quantum) computing
• In/near memory computing
• Real-world computing
• Reinforcement learning
• Reservoir computing
• Spintronics

Confirmed Invited Speakers

• Johan Åkerman
  Computing with oscillator or magnon
  (Univ. Gothenburg / Tohoku Univ., Sweden / Japan)
• William A. Borders
  Neural network with MTJs
  (NIST, USA)
• Kerem Y. Camsari
  Probabilistic computing with spintronics
  (UC Santa Barbara, USA)
• Akira Fujimaki
  Superconducting computing
  (Nagoya Univ., Japan)
• Claudia Gomes da Rocha
  Neuromorphic Computing
  (Univ. Calgary, Canada)
• Yoshihiko Horio
  Brainmorphic hardware
  (Tohoku Univ., Japan)
• Giacomo Indiveri
  Neuromorphic engineering
  (Univ. Zurich / ETH Zurich, Switzerland)
• Shun Kanai
  Stochastic MTJs
  (Tohoku Univ., Japan)
• Andrew Kent
  Stochastic dynamics of MTJs for computing
  (New York Univ., USA)
• Timothée Levi
  Neuromorphic engineering
  (Univ. Bordeaux, France)
• Ming Liu
  In/Near memory computing
  (Fudan Univ., China)
• Alon Loeffler
  Biological computing
  (Cortical Labs, Australia)
• Matthias Lohrmann
  Neuromorphic Engineering
  (SpiNNcloud Systems GmbH, Germany)
• Danijela Markovic
  Quantum neuromorphic computing
  (Univ. Paris-Saclay, France)
• Masoud Mohseni
  Quantum-inspired computing
  (Hewlett Packard Enterprise, USA)
• Theoden Netoff
  Biomedical engineering
  (Univ. Minnesota, USA)
• Wilten Nicola
  Computational neuroscience
  (Univ. Calgary, Canada)
• Javier Orlandi
  Computational and Systems Neuroscience
  (Univ. Calgary, Canada)
• Byong-Guk Park
  Spintronics for PUF and ANN
  (KAIST, Korea)
• Jordi Soriano
  Cultured neuronal networks
  (Univ. Barcelona, Spain)
• Jonathan Sun
  Stochastic MTJs
  (IBM, USA)
• Yoshihisa Yamamoto
  Coherent Ising machine
  (NTT Research / Stanford Univ., Japan / USA)
• Hyunsoo Yang
  Probabilistic computing with spintronics
  (Nat'l Univ., Singapore)
• Guoqiang Yu
  Restricted Boltzmann machine with spintronics
  (CAS, China)

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.