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:
- silicon integrated sequence of optical micro-ring resonators for photonic neuromorphic computing,
- semiconductor nanowire metasurfaces for arbitrary optical function synthesis suitable for flat lenses in computer tablet or smartphone applications,
- liquid polymeric droplet whispering gallery mode resonator for sensitive strain gauge sensing,
- 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.