Summer school: Neurospin 2022, August 22-26
Event details
| Date | 22.08.2022 › 26.08.2022 |
| Hour | 09:00 › 19:00 |
| Speaker | Various speakers |
| Location | |
| Category | Conferences - Seminars |
| Event Language | English |
EPFL-ETH Zürich summer school on "Spin-based device architectures for neuromorphic computing and storage"
This summer school will provide an overview of hardware implementations of neuromorphic computing techniques and then emphasize recent and novel approaches which are spin-based and promise a reduction in power consumption. Combining lectures and exercises designed by experts from materials science over neuroscience to computer engineering as well as a round table discussion, this interdisciplinary school will benefit and stimulate participants from various domains ranging from machine learning to condensed matter physics.
School highlights:
- Lectures and exercise sessions from internationally leading researchers working on various areas such as spintronics and magnonics
- Opportunity for poster presentation about your research
- Journal club session and round table disucssion with experts
- 2 ECTS will be awarded to PhD students (Course code: MSE-806)
- Registration fee: CHF 250 for PhD students and CHF 100 for Master students
Guest speakers:
- Dr. Alice Mizrahi (Unité Mixte de Physique CNRS/Thales, France),
- Dr. Naëmi Leo (University of Zaragoza, Spain),
- Prof. Erik Folven (NTNU, Norway),
- Prof. Gyorgy Csaba (Pázmány Péter Catholic University, Hungary),
- Prof. Johan Åkerman (University of Gothenburg, Sweden),
- Dr. Kevin Garello (Spintec, France),
- Dr. Mihai Petrovici (University of Bern, Switzerland), and
- Prof. Phillip Pirro (University of Kaiserslautern, Germany)
Links
Practical information
- Informed public
- Registration required
Organizer
- Shreyas Joglekar, PhD student at LMGN EPFL, Zhentao Liu, PhD student at LMX PSI, Marco Hoffmann, PhD student at INTERMAG ETH Zürich, Laura van Schie, PhD student at INTERMAG ETH Zürich, Andrea Mucchietto, PhD student at LMGN EPFL, and Mohammad Hamdi, PhD student at LMGN EPFL