Zobrazeno 1 - 10
of 10 085
pro vyhledávání: '"Rutishauser"'
Ternary neural networks (TNNs) offer a superior accuracy-energy trade-off compared to binary neural networks. However, until now, they have required specialized accelerators to realize their efficiency potential, which has hindered widespread adoptio
Externí odkaz:
http://arxiv.org/abs/2405.19065
Motivated by the refreezing of melt water in firn we revisit the one-dimensional percolation of liquid water and non-reactive gas in porous ice. We analyze the dynamics of infiltration in the absence of capillary forces and heat conduction to underst
Externí odkaz:
http://arxiv.org/abs/2403.15996
A critical challenge in deploying unmanned aerial vehicles (UAVs) for autonomous tasks is their ability to navigate in an unknown environment. This paper introduces a novel vision-depth fusion approach for autonomous navigation on nano-UAVs. We combi
Externí odkaz:
http://arxiv.org/abs/2403.11661
Publikováno v:
Earth System Science Data, Vol 16, Pp 4103-4118 (2024)
The negative surface mass balance of glaciers and ice caps under a warming climate impacts local ecosystems, influencing the volume and timing of water flow in local catchments while also contributing to global sea level rise. Peripheral glaciers dis
Externí odkaz:
https://doaj.org/article/f78ea04d8f7544d5a3a8c821dffd30d3
Autor:
Moosmann, Julian, Mueller, Hanna, Zimmerman, Nicky, Rutishauser, Georg, Benini, Luca, Magno, Michele
This paper deploys and explores variants of TinyissimoYOLO, a highly flexible and fully quantized ultra-lightweight object detection network designed for edge systems with a power envelope of a few milliwatts. With experimental measurements, we prese
Externí odkaz:
http://arxiv.org/abs/2307.05999
Mixed-precision quantization, where a deep neural network's layers are quantized to different precisions, offers the opportunity to optimize the trade-offs between model size, latency, and statistical accuracy beyond what can be achieved with homogen
Externí odkaz:
http://arxiv.org/abs/2307.02894
Autor:
Nadalini, Alessandro, Rutishauser, Georg, Burrello, Alessio, Bruschi, Nazareno, Garofalo, Angelo, Benini, Luca, Conti, Francesco, Rossi, Davide
The emerging trend of deploying complex algorithms, such as Deep Neural Networks (DNNs), increasingly poses strict memory and energy efficiency requirements on Internet-of-Things (IoT) end-nodes. Mixed-precision quantization has been proposed as a te
Externí odkaz:
http://arxiv.org/abs/2307.01056