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ChipAI SIGNED

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

Total Cost €

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EC-Contrib. €

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Partnership

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ChipAI project word cloud

Explore the words cloud of the ChipAI project. It provides you a very rough idea of what is the project "ChipAI" about.

revolutionized resonant cavities spike network smaller energy brain efficient biological signals linear substrates scalable artificial conventional validation efficiency encoding synaptic silicon reducing detect fire internet dimensions metal inspired photonics cpu ai perspective computers central lt cheap neuromorphic functions miniaturized gt architecture tested lay bandwidth pursue pulsed neurons requiring detectors foundations transforming compact computing ghz lasers imaging rates powered bottleneck links masses tunnelling sources rt interconnected explicit intelligence biosensing ultralow functional nanostructures billion fj massively society optically optical spiking times semiconductor platform nanoscale emulate consumption neuron radically dense life neural chipai offline implementing units extremely portable interconnects cpus emission faster enabled wavelength detection economically time algorithms confinement inefficient sub networks leds instructions light uses

Project "ChipAI" data sheet

The following table provides information about the project.

Coordinator	LABORATORIO IBERICO INTERNACIONAL DE NANOTECNOLOGIA Organization address address: AVENIDA MESTRE JOSE VEIGA city: BRAGA postcode: 4715-330 website: www.inl.int contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Portugal [PT]
Total cost	3˙892˙005 €
EC max contribution	3˙892˙005 € (100%)
Programme	1. H2020-EU.1.2.1. (FET Open)
Code Call	H2020-FETOPEN-2018-2019-2020-01
Funding Scheme	RIA
Starting year	2019
Duration (year-month-day)	from 2019-03-01 to 2022-02-28

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	LABORATORIO IBERICO INTERNACIONAL DE NANOTECNOLOGIA LABORATORIO IBERICO INTERNACIONAL DE NANOTECNOLOGIA Organization address address: AVENIDA MESTRE JOSE VEIGA city: BRAGA postcode: 4715-330 website: www.inl.int contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	PT (BRAGA)	coordinator	653˙625.00
2	UNIVERSITY OF GLASGOW UNIVERSITY OF GLASGOW Organization address address: UNIVERSITY AVENUE city: GLASGOW postcode: G12 8QQ website: www.gla.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (GLASGOW)	participant	660˙222.00
3	TECHNISCHE UNIVERSITEIT EINDHOVEN TECHNISCHE UNIVERSITEIT EINDHOVEN Organization address address: GROENE LOPER 3 city: EINDHOVEN postcode: 5612 AE website: www.tue.nl/en contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NL (EINDHOVEN)	participant	604˙701.00
4	UNIVERSITY OF STRATHCLYDE UNIVERSITY OF STRATHCLYDE Organization address address: Richmond Street 16 city: GLASGOW postcode: G1 1XQ website: www.strath.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (GLASGOW)	participant	539˙925.00
5	IBM RESEARCH GMBH IBM RESEARCH GMBH Organization address address: SAEUMERSTRASSE 4 city: RUESCHLIKON postcode: 8803 website: www.zurich.ibm.com contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	CH (RUESCHLIKON)	participant	509˙156.00
6	IQE plc IQE plc Organization address address: PASCAL CLOSE ST MELLONS city: Cardiff postcode: CF3 0EG website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (Cardiff)	participant	380˙000.00
7	FCIENCIAS.ID - ASSOCIACAO PARA A INVESTIGACAO E DESENVOLVIMENTO DE CIENCIAS FCIENCIAS.ID - ASSOCIACAO PARA A INVESTIGACAO E DESENVOLVIMENTO DE CIENCIAS Organization address address: CAMPO GRANDE, EDIFICIO C1, PISO 3 city: LISBON postcode: 1749 016 website: http://www.fciencias-id.pt contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	PT (LISBON)	participant	287˙500.00
8	UNIVERSITAT DE LES ILLES BALEARS UNIVERSITAT DE LES ILLES BALEARS Organization address address: CARRETERA DE VALLDEMOSSA KM 7.5 city: PALMA DE MALLORCA postcode: 7122 website: www.uib.es contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (PALMA DE MALLORCA)	participant	256˙875.00

Map

Project 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.

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The information about "CHIPAI" are provided by the European Opendata Portal: CORDIS opendata.

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