CORDIS
EU research results

CORDIS

English EN
Energy-efficient and high-bandwidth neuromorphic nanophotonic Chips for Artificial Intelligence systems

Energy-efficient and high-bandwidth neuromorphic nanophotonic Chips for Artificial Intelligence systems

Objective

The same way the internet revolutionized our society, the rise of Artificial Intelligence (AI) that can learn without the need of explicit instructions is transforming our life. AI uses brain inspired neural network algorithms powered by computers. However, these central processing units (CPU) are extremely energy inefficient at implementing these tasks. This represents a major bottleneck for energy efficient, scalable and portable AI systems. Reducing the energy consumption of the massively dense interconnects in existing CPUs needed to emulate complex brain functions is a major challenge. ChipAI aims at developing a nanoscale photonics-enabled technology capable of deliver compact, high-bandwidth and energy efficiency CPUs using optically interconnected spiking neuron-like sources and detectors. ChipAI will pursue its main goal through the exploitation of Resonant Tunnelling (RT) semiconductor nanostructures embedded in sub-wavelength metal cavities, with dimensions 100 times smaller over conventional devices, for efficient light confinement, emission and detection. Key elements developed are non-linear RT nanoscale lasers, LEDs, detectors, and synaptic optical links on silicon substrates to make an economically viable technology. This platform will be able to fire and detect neuron-like light-spiking (pulsed) signals at rates 1 billion times faster than biological neurons (>10 GHz per spike rates) and requiring ultralow energy (<10 fJ). This radically new architecture will be tested for spike-encoding information processing towards validation for use in artificial neural networks. This will enable the development of real-time and offline portable AI and neuromorphic (brain-like) CPUs. In perspective, ChipAI will not only lay the foundations of the new field of neuromorphic optical computing, as will enable new non-AI functional applications in biosensing, imaging and many other fields where masses of cheap miniaturized pulsed sources and detectors are needed.
Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

LABORATORIO IBERICO INTERNACIONAL DE NANOTECNOLOGIA

Address

Avenida Mestre Jose Veiga
4715-330 Braga

Portugal

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 653 625

Participants (7)

Sort alphabetically

Sort by EU Contribution

Expand all

UNIVERSITY OF GLASGOW

United Kingdom

EU Contribution

€ 660 222,50

UNIVERSITY OF STRATHCLYDE

United Kingdom

EU Contribution

€ 539 925

TECHNISCHE UNIVERSITEIT EINDHOVEN

Netherlands

EU Contribution

€ 604 701,25

FCIENCIAS.ID - ASSOCIACAO PARA A INVESTIGACAO E DESENVOLVIMENTO DE CIENCIAS

Portugal

EU Contribution

€ 287 500

UNIVERSITAT DE LES ILLES BALEARS

Spain

EU Contribution

€ 256 875

IQE plc

United Kingdom

EU Contribution

€ 380 000

IBM RESEARCH GMBH

Switzerland

EU Contribution

€ 509 156,25

Project information

Grant agreement ID: 828841

Status

Ongoing project

  • Start date

    1 March 2019

  • End date

    28 February 2022

Funded under:

H2020-EU.1.2.1.

  • Overall budget:

    € 3 892 005

  • EU contribution

    € 3 892 005

Coordinated by:

LABORATORIO IBERICO INTERNACIONAL DE NANOTECNOLOGIA

Portugal