Project description
Sensor encoding and interactions
Ultra-low power sensors incorporating artificial intelligence require an analog-to-digital converter (ADC) before the signal processing block implemented with a neural network (NN). ADCs have been employed based on a voltage-controlled oscillator (VCO) to implement integrated sensors. This requires the development of a new multiply–accumulate cell (MAC) for the first layer of the NN that operates with signals from the VCO as well as a suitable VCO interface with existing sensors. However, methods aiming to apply a sensor interaction using a VCO and implement a phase/frequency-encoded MAC unit for the NN have been attempted separately. The EU-funded TEVI project aims to combine the two for the benefit of research and industry applications. To that end, it will remove the ADC before the NN by directly connecting the sensor to it and encoding the sensor signals with a VCO.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Programme(s)
Call for proposal
H2020-MSCA-ITN-2020
See other projects for this call
Funding Scheme
MSCA-ITN-EID - European Industrial DoctoratesCoordinator
28903 Getafe (Madrid)
Spain
Participants (1)
9500 Villach
