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Title Ai for New Devices And Technologies at the Edge (ANDANTE)
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Consortium STMICROELECTRONICS GRENOBLE 2 SAS, COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES, STMICROELECTRONICS CROLLES 2 SAS, INSTITUT POLYTECHNIQUE DE BORDEAUX, THALES SA, ALSEAMAR, INTERUNIVERSITAIR MICROELECTRONICA CENTRUM, INFINEON TECHNOLOGIES AG, VALEO SCHALTER UND SENSOREN GMBH, FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V ., EESY-INNOVATION GMBH, FRIEDRICH-ALEXANDERUNIVERSITAET ERLANGEN NUERNBERG, TECHNISCHE UNIVERSITAET DRESDEN, HEIMANN SENSOR GMBH, FERROELECTRIC MEMORY GMBH, PHILIPS MEDICAL SYSTEMS NEDERLAND BV, PHILIPS ELECTRONICS NEDERLAND BV, STICHTING IMEC NEDERLAND, GRAI MATTER LABS BV, INOV INESC INOVACAO - INSTITUTO DE NOVAS TECNOLOGIAS, CENTRO DE COMPETENCIAS PARA O TOMATE INDUSTRIA ASSOCIACAO PARA A INVESTIGACAO DESENVOLVIMENTO E INOVACAO NO SETOR, ITALAGRO INDUSTRIA DE TRANSFORMACAODE PRODUTOS ALIMENTARES SA, TPRO - TECHNOLOGIES LDA, AICTX AG, CSEM CENTRE SUISSE D'ELECTRONIQUE ET DE MICROTECHNIQUE SA - RECHERCHE ET DEVELOPPEMENT, UNIVERSITAT ZURICH, BOEING RESEARCH & TECHNOLOGY EUROPE S.L.U., TELEVES SA, CARTOGALICIA SL
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Funding H2020
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Opening / Ending Jun 2020/ Feb 2024
The fundamental goal of the ANDANTE project is to leverage innovative hardware platforms to build strong hardware / software platforms for artificial neural networks (ANN) and spiking neural networks (SNN) as a basis for future products in the Edge IoT domain, combining extreme power efficiency with robust neuromorphic computing capabilities and demonstrate them in key application areas.
The project brings together world class expertise and infrastructures of Imec, CEA and FhG together with semiconductor companies, system houses, AI SMEs and application experts to explore and demonstrate the capabilities provided by the developed technologies. In the project, several applications will be assessed in key domains where Europe is strong (automotive, digital farming, digital industry, mobility and digital life). The aim is to reinforce and maintain strong leadership in these areas by bringing industry in contact with future memory technologies at a low TRL level (MRAM, OXRAM, FeFET). These cross-disciplinary efforts will lead to development of innovative hardware / software deep learning solutions, based on high TRL level RRAM/PCM and FeFET, to enable future products which combine extreme power efficiency with robust cognitive computing capabilities.
This new kind of computing technology, combining ANN and SNN capabilities, will open new perspectives, for instance, environmental monitoring, and wearable electronics.Within Andante Project, Gradiant will participate in the robust autonomus landing use case for smart mobility and transport, providing video analytics-based algorithms for object detection and aerial imagery registration. Gradiant will also work on the optimization of these algorithms for FPGAs, as well as on their evaluation on FPGAs and, optionally, in the neuromorphic hardware resulting of the project. Additionally, GRADIANT will take the role of Dissemination Manager.
