Project description
An innovative artificial neural network could learn up to 10 million times faster than we do
Developing artificial neural networks that can learn, process and 'think' as the brain does is a sort of Holy Grail with virtually limitless applications. Deep learning paradigms exploiting multilayer hierarchical artificial neural networks mimicking the brain's structure can also mimic the brain's ability to learn by example. They have achieved tremendous success, even exceeding human performance in some cases. The EU-funded RadioSpin project plans to demonstrate deep learning networks processing radiofrequency (RF) signals and learning at speeds up to 10 million times faster than a human brain. Benchmarking applications will target mammography and IoT RF fingerprinting.
Fields of science
- natural sciencescomputer and information sciencesinternetinternet of things
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- medical and health sciencesclinical medicineoncologybreast cancer
- natural sciencesphysical scienceselectromagnetism and electronicsspintronics
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
33000 Bordeaux
France
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Participants (6)
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
33402 Talence
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75794 Paris
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4715-330 Braga
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92400 Courbevoie
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06081 Frazione Rivotorto
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.