Please note that this website refers to a past event - for reference use only

The recent explosion of deep learning applications imposes an urgent need for new energy-efficient alternative neuromorphic hardware concepts running at high speeds and relying on a high degree of parallelism. In this workshop, we will explore this rapidly developing area of (classical) neuromorphic computing over a range of scalable platforms, both on a theoretical and experimental level. These platforms include systems in the domains of optics, integrated photonics, spin systems, semi- and superconducting systems, soft matter, and others. In addition, new physical learning approaches will be discussed.

Confirmed invited speakers

  • Firooz Aflatouni (U Penn)
  • Daniel Brunner (CNRS, FEMTO-ST)
  • Sonia Buckley (NIST)
  • Darius Bunandar (lightmatter)
  • Claudio Conti (Rome)
  • György Csaba (Budapest)
  • Sylvain Gigan (Paris)
  • Julie Grollier (CNRF Thales)
  • Alexander Khajetoorians (Radboud University)
  • Andrea Liu (U Penn)
  • Alexander Lvovsky (Oxford)
  • Tatsuhiro Onodera (Cornell)
  • Wolfram Pernice (Heidelberg)
  • Demetri Psaltis (EPFL)
  • Benjamin Scellier (Rain)
  • Johannes Schemmel (Heidelberg)
  • Abu Sebastian (IBM)
  • Menachem (Nachi) Stern (U Penn)

Format

The in-person workshop will start on 5 September at 9 am and end on 7 September at approximately 5:30 pm. There will be invited talks, contributed talks, a poster session and a panel discussion. On Wednesday, we will organise a conference dinner which is included in the registration fee.

Click here for the workshop program.

MPL Shop

The World of Light to Touch and Wear.

Shop now!

MPL Research Centers and Schools