Welcome

Photonics is gaining traction in the artificial intelligence (AI) area in close competition with mature technologies (such as microelectronics) and developing platforms (such as memristive in-memory computing). Photons are viewed more and more as optimum information processing and transporting carriers for their versatility, speed and energy economy that make them apt for innovative hardware implementations. In turn, artificial intelligence in general and machine learning in particular have revealed as phenomenal tools capable to tackle complex problems like those faced in photonics. In fact they are helping boost progress in aspects concerning, for instance, new materials, inverse design, and even physical laws discovery.

The integration of both disciplines is a two-way street where the benefits are incalculable. Bringing together the international communities involved in artificial intelligence and photonics can only be in their mutual benefit and that of science in general. To this end, we intend to bring forward a meeting with international experts in the two areas and the respective national communities to create the seed of a new speciality almost absent in the country and probably new joint industrial or research initiatives.

Topics:

  • AI Methods in Photonics (Discriminative v. Generative Models)
  • Machine Learning for Forward Design
  • Transfer Learning
  • Machine Learning for Inverse Design (scattering, metamaterials, disorder, topological systems, quantum photonics)
  • Bidirectional Deep Learning
  • Machine Learning for Device and System Optimization
  • Photonic Hardware Implementations
  • Free Space Optical Computing
  • Diffraction Grating Systems
  • Diffusive Multiple Scattering Materials
  • Analogue Computing
  • Single Mode Fibres
  • Multimode and Multicore Fibres
  • Mach-Zehnder Interferometer Photonic Integrated Circuits
  • Semiconductor Optical Amplifiers
  • Micro-ring Resonators Networks
  • Photonic Synapses
  • Phase Change Materials for Synapses
  • Spiking Neural Networks 

Confirmed invited lecturers: