videantis, a specialist supplier of deep learning, computer vision and video coding solutions, announced the adoption of its next-generation digital AI multi-core processor platform and toolflow for a neuromorphic mixed-signal edge AI chip.
The development is part of the European TEMPO project and targets several autonomous driving use cases. TEMPO stands for “Technology & hardware for nEuromorphic coMPuting” and is an ECSEL JU innovation project supported by the EU Horizon 2020 programme.
Together with the Fraunhofer Institute for Integrated Circuits IIS, Infineon, Valeo, InnoSenT and other leading European companies and universities, videantis will develop a neuromorphic artificial intelligence ASIC platform and software development tools specifically tailored for energy-efficient edge processing for intelligent autonomous vehicles.
TEMPO (Technology & hardware for nEuromorphic coMPuting) is a European innovation project. This project has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No 826655. The JU receives support from the European Union’s Horizon 2020 research and innovation programme, and from Belgium, France, Germany, Netherlands, Switzerland. TEMPO was kicked off on the 1st of April 2019 and has a duration of three years.
The consortium of this ambitious project consists of no less than nineteen members. Imec takes the lead as the sole Belgian consortium partner. The other consortium members are, for France: CEA-LETI, ST-Microelectronics Crolles, ST-Microelectronics Grenoble, Thales Alenia Space and Valeo. For Germany: Bosch, Fraunhofer EMFT, Fraunhofer IIS, Fraunhofer IPMS, Infineon, Innosent, TU Dresden and videantis. For the Netherlands: imec the Netherlands, Philips Electronics and Philips Medical Systems. For Switzerland: aiCTX and the University of Zürich.
Hordon Kim
International Editor, hordon@powerelectronics.co.kr
