Frontiers of Neuromorphic Computing

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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

• Wolfram Pernice (Heidelberg)
• Julie Grollier (CNRF Thales)
• Menachem (Nachis) Stern (U Penn)
• Alexander Lvovsky (Oxford)
• Benjamin Scellier (Rain)
• Alexander Khajetoorians (Radboud University)

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.