ARIADNA STUDY – INVESTIGATION OF LOW ENERGY SPIKING NEURAL NETWORKS BASED ON TEMPORAL CODING FOR SCENE CLASSIFICATION – EXPRO+
23, June 2021

ESA Open Invitation to Tender: 1-10873
Open Date: 18/06/2021 11:13 CEST
Closing Date: 19/07/2021 13:00 CEST

Study the applicability of Spiking Neural Networks (SNNs) based on temporal coding for onboard Artificial Intelligence applications, focusing on scene classification case studies. To this aim, we will investigate the trade-offs between accuracy and complexity of different SNN models based on temporal coding. In addition, assuming the availability of dedicated chips, the project aims to establish an upper-bound for the energy per inference of one of the investigated SNN models.

Directorate: Directorate of Tech, Eng. Quality
Estabilishment: ESTEC
ECOS Required: No
Classified: No
Price Range: < 50 KEURO
Contracts Officer: Miguel Yagues Palazon
Initiating Service: TEC-SF
IP Measure: N/A
Prog. Reference: E/0600-06 – Discovery
Tender Type: Open Competition
Open To Tenderers From: AT+BE+CA+CH+CZ+DE+DK+EE+EL+ES+FI+FR+GB+HU+IE+IT+LU+LV+NL+NO+PL+PT+RO+SE+SI
Technology Keywords: 26-OTHERS
Products Keywords: 2-P-Other

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