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The PELM project aims at demonstrating machine learning photonic devices. Within a single neuromorphic computing architecture, different platforms are specialised to given tasks by their specific characteristics.

Starting from a common theoretical algorithm where matrices of optical computational nodes constitute a neural network, innovative proof-of-concept prototypes are realised such as:

  1. silicon integrated sequence of optical micro-ring resonators for photonic neuromorphic computing,
  2. semiconductor nanowire metasurfaces for arbitrary optical function synthesis suitable for flat lenses in computer tablet or smartphone applications,
  3. liquid polymeric droplet whispering gallery mode resonator for sensitive strain gauge sensing,
  4. biological spherical resonators for cancer detection and morphodynamics monitoring.

The unique combination of skilled physicists, engineers and biologists - from both universities and research centres - guarantees the achievement of these ambitious goals.

Complementary competences in photonic integrated devices, complex systems, linear and nonlinear optical measurements, bio-physics, and semiconductor technology allow developing various platforms for the photonic extreme learning machines and their validation on killer applications.