428 citations · 4.5k across the 191 of their papers we have counts for
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Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer Interfaces
Michael Hersche, José del R. Millán, Luca Benini +1
Key properties of brain-inspired hyperdimensional (HD) computing make it a prime candidate for energy-efficient and fast learning in biosignal processing. The main challenge is how…
NTX: An Energy-efficient Streaming Accelerator for Floating-point Generalized Reduction Workloads in 22nm FD-SOI
Fabian Schuiki, Michael Schaffner, Luca Benini
Specialized coprocessors for Multiply-Accumulate (MAC) intensive workloads such as Deep Learning are becoming widespread in SoC platforms, from GPUs to mobile SoCs. In this paper w…
Pible: Battery-Free Mote for Perpetual Indoor BLE Applications
Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal +2
Smart building applications require a large-scale deployment of sensors distributed across the environment. Recent innovations in smart environments are driven by wireless networke…
Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems
Miguel de Prado, Nuria Pazos, Luca Benini
Deep Learning is increasingly being adopted by industry for computer vision applications running on embedded devices. While Convolutional Neural Networks' accuracy has achieved a m…
QUENN: QUantization Engine for low-power Neural Networks
Miguel de Prado, Maurizio Denna, Luca Benini +1
Deep Learning is moving to edge devices, ushering in a new age of distributed Artificial Intelligence (AI). The high demand of computational resources required by deep neural netwo…
Anomaly Detection using Autoencoders in High Performance Computing Systems
Andrea Borghesi, Andrea Bartolini, Michele Lombardi +2
Anomaly detection in supercomputers is a very difficult problem due to the big scale of the systems and the high number of components. The current state of the art for automated an…