Nathan Kutz, University of Washington, USA,
Machine learning for control, model discovery, and characterization of photonic systems

Demetri Psaltis, EPFL, Switzerland,
The Nexus of Optics and Machine Learning

Goery Genty, Tampere University, Finland,
Machine learning for new optical measurement techniques

Darko Zibar, DTU, Denmark,
End-to-learning for communication systems employing directly modulated lasers

Stephane Barland, Institut Non Linéaire de Nice, France,
Resonator neuron and triggering multipulse excitability in laser with injected signal

Kathy Ludge, TU Ilmenau, Germany,
Theoretical aspects of time-multiplexed reservoir computing

Antonio Hurtado, University of Strathclyde, UK,
Photonics for Artificial Spiking Neurons and Spiking Neural Networks

Miguel C. Soriano, CSIC-UIB, Spain,
Computing with Photonic Substrates

Jose Capmany, Universitat Politecnica Valencia, Spain,
Developing a computing paradigm for photonics and not vice versa

Daniel Brunner, Femto St-CNRS, France,
Multimode-laser implementation of deep neural networks

Dan Mannion, University College London, UK,
Photonic Dendritic Computation: Motivations and Opportunities

Claudio Conti, Sapienza University, Italy,
Nonlinear waves for machine learning and large-scale optimization

Mario Krenn, Max Planck Institute, Germany,
Towards an Artificial Muse for new Ideas in Physics

Julie Grollier, CNRS/Thales, France,
Spintronics for Neuromorphic Computing

Yoshihisa Yamamoto, Stanford University, USA,
Optimization and machine learning with network of optical parametric oscillators

Alexander Lvovsky, Oxford University, UK
Optics and machine intelligence: a natural symbiosis

Logan Wright, Yale University, USA
Programming programmable multimode photonics as physical neural networks

Ingo Fischer, IFISC, Spain
Machine Learning-inspired Photonics: From Concept and Tailored Implementation to Competitive Applications

Natalia Manuilovich, Aston University, UK
Emerging AI tools for researchers