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SYNC: Symposium Advanced neuromorphic computing hardware: Towards efficient machine learning
SYNC 1: Symposium: Advanced neuromorphic computing hardware: Towards efficient machine learning
Mittwoch, 29. September 2021, 10:00–12:45, Audimax 1
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10:00 | SYNC 1.1 | Hauptvortrag: Equilibrium Propagation: a Road for Physics-Based Learning — •Damien Querlioz |
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10:30 | SYNC 1.2 | Hauptvortrag: Machine Learning and Neuromorphic Computing: Why Physics and Complex Systems are Indispensable — •Ingo Fischer |
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11:00 | SYNC 1.3 | Hauptvortrag: Photonic Tensor Core Processor and Photonic Memristor for Machine Intelligence — •Volker Sorger |
| 11:30 | 15 min. break. | ||
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11:45 | SYNC 1.4 | Hauptvortrag: Material learning with disordered dopant networks — •Wilfred van der Wiel |
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12:15 | SYNC 1.5 | Hauptvortrag: In-memory computing with non-volatile analog devices for machine learning applications — •John Paul Strachan |