ANDANTE

AI for New Devices And Technologies at the Edge

Objective

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 main objective of ANDANTE is to build and expand the European eco-system around the definition, development, production and application of neuromorphic hardware through an efficient cross-fertilization between major European foundries, chip design, system houses, application companies and research partners, as presented by the European Leader Group (ELG).

Impact

The cross-disciplinary efforts will lead to development of innovative hardware / software deep learning solutions, based on high TRL level Resistive random-access memory (RRAM)/ Pulse-code modulation (PCM) and Ferroelectric field‐effect transistor (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.

INOV participation

INOV will process and deliver AI models to include diseases and plagues´ identification, diseases and plagues forecast and tomato variety selection. These models will be supported on the most common and used AI frameworks (e.g., TensorFlow) and will use the board STM32 Hybrid solution that includes Spiking Neural Networks (SNN) and Artificial Neural (ANN).