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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.

Field of science

  • /natural sciences/computer and information sciences/artificial intelligence
  • /natural sciences/computer and information sciences/artificial intelligence/computational intelligence
  • /natural sciences/computer and information sciences/data science/data processing
  • /engineering and technology/environmental engineering/waste management/energy efficiency
  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/computer hardware/computer processor

Call for proposal

H2020-FETOPEN-2018-2019-2020-01
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

LABORATORIO IBERICO INTERNACIONAL DE NANOTECNOLOGIA
Address
Avenida Mestre Jose Veiga
4715-330 Braga
Portugal
Activity type
Research Organisations
EU contribution
€ 653 625

Participants (7)

UNIVERSITY OF GLASGOW
United Kingdom
EU contribution
€ 660 222,50
Address
University Avenue
G12 8QQ Glasgow
Activity type
Higher or Secondary Education Establishments
UNIVERSITY OF STRATHCLYDE
United Kingdom
EU contribution
€ 539 925
Address
Richmond Street 16
G1 1XQ Glasgow
Activity type
Higher or Secondary Education Establishments
TECHNISCHE UNIVERSITEIT EINDHOVEN
Netherlands
EU contribution
€ 604 701,25
Address
Groene Loper 3
5612 AE Eindhoven
Activity type
Higher or Secondary Education Establishments
FCIENCIAS.ID - ASSOCIACAO PARA A INVESTIGACAO E DESENVOLVIMENTO DE CIENCIAS
Portugal
EU contribution
€ 287 500
Address
Campo Grande, Edificio C1, Piso 3
1749 016 Lisbon
Activity type
Research Organisations
UNIVERSITAT DE LES ILLES BALEARS
Spain
EU contribution
€ 256 875
Address
Carretera De Valldemossa Km 7.5
07122 Palma De Mallorca
Activity type
Higher or Secondary Education Establishments
IQE plc
United Kingdom
EU contribution
€ 380 000
Address
Pascal Close St Mellons
CF3 0EG Cardiff
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
IBM RESEARCH GMBH
Switzerland
EU contribution
€ 509 156,25
Address
Saeumerstrasse 4
8803 Rueschlikon
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)