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Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms
(2019)Proceedings of the 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)We propose Laelaps, an energy-efficient and fast learning algorithm with no false alarms for epileptic seizure detection from long-term intracranial electroencephalography (iEEG) signals. Laelaps uses end-to-end binary operations by exploiting symbolic dynamics and brain-inspired hyperdimensional computing. Laelaps’s results surpass those yielded by state-of-the-art (SoA) methods [1], [2], [3], including deep learning, on a new very large ...Conference Paper -
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces
(2020)2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)In recent years, deep learning (DL) has contributed significantly to the improvement of motor-imagery brain–machine interfaces (MI-BMIs) based on electroencephalography (EEG). While achieving high classification accuracy, DL models have also grown in size, requiring a vast amount of memory and computational resources. This poses a major challenge to an embedded BMI solution that guarantees user privacy, reduced latency, and low power ...Conference Paper -
Hyperdrive: A systolically scalable binary-weight CNN Inference Engine for mW IoT End-Nodes
(2018)2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)Conference Paper -
Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS
(2018)2018 IEEE International Symposium on Circuits and Systems (ISCAS)Conference Paper -
XNORBIN: A 95 TOp/s/W hardware accelerator for binary convolutional neural networks
(2018)2018 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS)Conference Paper -
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?
(2018)2018 IEEE International Symposium on Circuits and Systems (ISCAS)Conference Paper -
Extended Bit-Plane Compression for Convolutional Neural Network Accelerators
(2019)Proceedings of the 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)Conference Paper -
Ultra-Low Power Context Recognition Fusing Sensor Data from an Energy-Neutral Smart Watch
(2016)Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ~ Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015, Revised Selected Papers, Part IIConference Paper -
Fanncortexm: An open source toolkit for deployment of multi-layer neural networks on arm cortex-m family microcontrollers : formance analysis with stress detection
(2019)2019 IEEE 5th World Forum on Internet of Things (WF-IoT)Conference Paper -
InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting
(2020)2020 Design, Automation and Test in Europe Conference and Exhibition (DATE)This work presents InfiniWolf, a novel multi-sensor smartwatch that can achieve self-sustainability exploiting thermal and solar energy harvesting, performing computationally high demanding tasks. The smartwatch embeds both a System-on-Chip (SoC) with an ARM Cortex-M processor and Bluetooth Low Energy (BLE) and Mr. Wolf, an open-hardware RISC-V based parallel ultra-low-power processor that boosts the processing capabilities on board by ...Conference Paper