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
It is estimated that around 1% of the world's electricity is destined for cloud data centers, and that this figure is set to rise to 8% by 2030. However, many applications can be run at the edge, not in the cloud, to provide more sustainable solutions.

To this end, ANDANTE aims to leverage innovative integrated circuit designs to build powerful hardware and software components and devices for artificial neural networks and spiking neural networks (ANN/SNN), which will serve as the basis for future products in the edge, combining extreme energy efficiency with robust neuromorphic computing capabilities, and demonstrate them in key application areas.

ANDANTE's objective is fourfold: First, emerging non-volatile memories such as OxRAM, PCM, FeFET, SOT-MRAM. Next come methodologies for the co-design of software and hardware, as well as tools for training, profiling, and mapping a neural network on a hardware target. ANDANTE also focuses on the design of neuromorphic processors (ASICs, SoCs and FPGAs). In addition, several AI platforms and applications are being developed to validate and evaluate the performance and relevance of the solution.

The validation and evaluation of neuromorphic technologies is being carried out in five application areas (digital industry, digital agriculture, transport and intelligent mobility, healthcare, digital society), which are key to the future of European competitiveness. To this end, ANDANTE is developing 14 innovative Edge use cases with high market impact.
ANDANTE's activities are based on collaborative research between large and small industrial companies, leading research centers and universities.