Digital optical computing platform for neural networks

DOLORES aims to develop a digital optical neural network processor to overcome current optical computing limitations, revolutionizing AI and deep learning applications across various sectors.

Subsidie
€ 3.015.883
2024

Projectdetails

Introduction

Artificial Intelligence - humanity’s new frontier - has dramatically progressed during the past decade due to the introduction of deep learning. Deep learning applications usually require vast amounts of computing resources but microelectronics are encountering physically fundamental bottlenecks in speed, energy consumption, heating, and interconnect delay, which can no longer be resolved by scaling.

Challenges in Microelectronics

The end of Moore’s law urgently calls for the introduction of new devices, new integration technologies, and new architectures to efficiently accelerate deep learning applications. Recently, optical neural networks (ONNs) based on photonic integrated circuits have shown great potential as an emerging computing architecture beyond von Neumann and Moore to overcome the bottlenecks in their microelectronics counterparts.

Obstacles in ONNs

Yet the ONN concepts and demonstrations so far are encountering severe obstacles such as:

  1. Limited calculation precision
  2. Repeatability
  3. Scalability
  4. Compatibility with microelectronics

These obstacles are deeply rooted in the analogue computing architecture of the existing ONNs: insufficient signal-to-noise ratio due to accumulated noise and crosstalk in the system.

Project Overview

DOLORES aims to explore and develop a radically new digital optical computing platform to create a new class of processors, namely a digital optical neural network (DONN) processor, that is fundamentally different from any ONN scheme and solves the aforementioned obstacles.

Vision and Impact

Integrating the best of photonics and electronics, DOLORES is expected to revolutionize optical computing, and in the long-term vision enable new possibilities that are barely supported by today’s computing hardware. If successful, DOLORES can pave the way for a new era in AI, drastically accelerating neural networks and deep learning applications, which have the potential to transform many sectors of our society, including healthcare, finance, and transportation.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 3.015.883
Totale projectbegroting€ 3.015.883

Tijdlijn

Startdatum1-9-2024
Einddatum31-8-2028
Subsidiejaar2024

Partners & Locaties

Projectpartners

  • DANMARKS TEKNISKE UNIVERSITETpenvoerder
  • TECHNISCHE UNIVERSITEIT EINDHOVEN
  • INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM
  • NEDERLANDSE ORGANISATIE VOOR TOEGEPAST NATUURWETENSCHAPPELIJK ONDERZOEK TNO
  • KOBENHAVNS UNIVERSITET
  • UNIVERSITY OF SOUTHAMPTON

Land(en)

DenmarkNetherlandsBelgiumUnited Kingdom

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