Gutiérrez Fernández, EricPérez Cruz, Carlos AndrésPatón Álvarez, SusanaHernández Corporales, Luis2022-09-192022-09-192020-09-022020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS): August 9-12, 2020, Springfield, MA, USA: on-line proceedings, (pp. 261-264). IEEE, 2020.978-1-7281-8058-8https://hdl.handle.net/10016/35735Proceeding of: 2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS): August 9-12, 2020, Springfield, MA, USA: on-line proceedings.A new phase-encoded MAC cell is proposed for low power smart sensing applications. If digitization of the raw data is made through voltage-controlled-oscillators based analog-to-digital converters (VCO-based ADCs), we may take the unsampled frequency-encoded output signal and connect it to the first layer of a neural network. Then that layer could be implemented with phase-encoded MAC accelerators, leading to an energy-efficient solution. The MAC cell does not only make the accumulation/subtraction and multiplication operation, but also the non-linear function which supposes a great advantage with respect to other equivalent cells. A circuit example is proposed in a 65-nm CMOS process and transient simulations prove the feasibility of the approach.4eng©2020 IEEE.Low powerVoltage-controlled oscillatorsAnalog-to-digital conversionArtificial intelligenceSensingNeural networksMACconference paperElectrónicahttps://doi.org/10.1109/MWSCAS48704.2020.9184605open access2612642020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS): August 9-12, 2020, Springfield, MA, USA: on-line proceedingsCC/0000032001