The European project TEMPO (Technology & hardware for nEuromorphic coMPuting) focusing on autonomous driving has selected digital AI multi-core processor platform and tool flow for a neuromorphic mixed-signal edge AI chip from Germany-based Videantis. The TEMPO project is funded 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. To this end, it will integrate its highly efficient and high-performance next-generation multi-core processor solution into a neuromorphic AI chip platform that processes LiDAR and radar sensor data for multiple autonomous driving use cases using AI-based methods. The solution combines deep decompression technology with a digital deep neural network (DNN) accelerator that remains software-programmable to easily adapt to different use cases of the chip.
Videantis will also support this chip with the v-CNNDesigner tool flow that automates the distribution and mapping of AI workloads onto the parallel architecture. V-CNNDesigner allows developers to map their neural networks on the videantis processors without requiring programmer’s intervention, removing the error-prone and complex programming task of finding the best quantization and parallelization strategies, data organization, and synchronization.
TEMPO started on the 1st of April 2019 for the duration of three years. The consortium consists of nineteen members, including Imec, CEA-LETI, ST-Microelectronics, Thales, Valeo, Fraunhofer, Infineon, Philips, the University of Zürich and more.