Skip to main content
Przejdź do strony domowej Komisji Europejskiej (odnośnik otworzy się w nowym oknie)
polski pl
CORDIS - Wyniki badań wspieranych przez UE
CORDIS
Zawartość zarchiwizowana w dniu 2024-06-11

Novel asynchronous optoelectronic neural network exploiting the dynamics of photorefractive interconnects

Cel



There are clear requirements for neural processors, ranging from pattern recognition to industrial process control. It is recognised that the degree of interconnection required for efficient Neural Networks is sufficiently high that optical or hybrid (optically-interconnected electronics) implementations should have advantages over all-electronic machines. The objective of the project is targeted at the study, design and implementation of a photonic demonstrator neural network.
Our proposal falls broadly in three areas. The first concerns 'smart pixels' as potentially suitable devices for use as optoelectronic neural units. A second study involves the properties of photorefractive crystals as reconfigurable interconnections, while the third area concerns the design of new algorithms (and architectures) which best exploit the optical response characteristics of the chosen devices rather than attempting to use devices in some 'standard' algorithm and architecture combination. We believe that the strong interaction of these three areas provides the key to successful neural net construction.

Dziedzina nauki (EuroSciVoc)

Program(-y)

Temat(-y)

Zaproszenie do składania wniosków

Brak dostępnych danych

System finansowania

RGI - Research grants (individual fellowships)

Koordynator

Heriot-Watt University
Wkład UE
Brak danych
Adres
Riccarton
EH14 4AS Edinburgh
Zjednoczone Królestwo
Koszt całkowity
Brak danych

Uczestnicy (1)