Zobrazeno 1 - 7
of 7
pro vyhledávání: '"de Putter, Floran"'
Bayesian Optimization Mixed-Precision Neural Architecture Search (BOMP-NAS) is an approach to quantization-aware neural architecture search (QA-NAS) that leverages both Bayesian optimization (BO) and mixed-precision quantization (MP) to efficiently s
Externí odkaz:
http://arxiv.org/abs/2301.11810
Recently, accelerators for extremely quantized deep neural network (DNN) inference with operand widths as low as 1-bit have gained popularity due to their ability to largely cut down energy cost per inference. In this paper, a flexible SoC with mixed
Externí odkaz:
http://arxiv.org/abs/2211.11331
With the surging popularity of edge computing, the need to efficiently perform neural network inference on battery-constrained IoT devices has greatly increased. While algorithmic developments enable neural networks to solve increasingly more complex
Externí odkaz:
http://arxiv.org/abs/2206.12358
Autor:
de Putter, Floran, Corporaal, Henk
Publikováno v:
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing (2023)
A key enabler of deploying convolutional neural networks on resource-constrained embedded systems is the binary neural network (BNN). BNNs save on memory and simplify computation by binarizing both features and weights. Unfortunately, binarization is
Externí odkaz:
http://arxiv.org/abs/2206.12322
Autor:
Gomony, Manil Dev, de Putter, Floran, Gebregiorgis, Anteneh, Paulin, Gianna, Mei, Linyan, Jain, Vikram, Hamdioui, Said, Sanchez, Victor, Grosser, Tobias, Geilen, Marc, Verhelst, Marian, Zenke, Friedemann, Gurkaynak, Frank, de Bruin, Barry, Stuijk, Sander, Davidson, Simon, De, Sayandip, Ghogho, Mounir, Jimborean, Alexandra, Eissa, Sherif, Benini, Luca, Soudris, Dimitrios, Bishnoi, Rajendra, Ainsworth, Sam, Corradi, Federico, Karrakchou, Ouassim, Güneysu, Tim, Corporaal, Henk
Publikováno v:
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6
STARTPAGE=1;ENDPAGE=6;TITLE=2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)
STARTPAGE=1;ENDPAGE=6;TITLE=2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)
With the rise of deep learning (DL), our world braces for artificial intelligence (AI) in every edge device, creating an urgent need for edge-AI SoCs. This SoC hardware needs to support high throughput, reliable and secure AI processing at ultra-low
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::505ce8e07a823d26fc13359854c0e2fc
https://research.tue.nl/nl/publications/a4857e5a-95ba-4411-9395-d10a2c22962a
https://research.tue.nl/nl/publications/a4857e5a-95ba-4411-9395-d10a2c22962a
Publikováno v:
2022 25th Euromicro Conference on Digital System Design (DSD), 373-382
STARTPAGE=373;ENDPAGE=382;TITLE=2022 25th Euromicro Conference on Digital System Design (DSD)
STARTPAGE=373;ENDPAGE=382;TITLE=2022 25th Euromicro Conference on Digital System Design (DSD)
Machine learning, and specifically Deep Neural Networks (DNNs) impact all parts of daily life. Although DNNs can be large and compute intensive, requiring processing on big servers (like in the cloud), we see a move of DNNs into loT-edge based system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::864a495ab4c2687f48bc9ac7905cb759
https://research.tue.nl/nl/publications/7d0d91e9-4dd9-483b-8a18-47216d6c0586
https://research.tue.nl/nl/publications/7d0d91e9-4dd9-483b-8a18-47216d6c0586
Autor:
De Putter, Floran, Peemen, Maurice, Potocek, Pavel, Schoenmakers, Remco, Corporaal, Henk, Fabelo, Himar, Ortega, Samuel, Skavhaug, Amund
Publikováno v:
2022 25th Euromicro Conference on Digital System Design (DSD), 577-584
STARTPAGE=577;ENDPAGE=584;TITLE=2022 25th Euromicro Conference on Digital System Design (DSD)
STARTPAGE=577;ENDPAGE=584;TITLE=2022 25th Euromicro Conference on Digital System Design (DSD)
Current Scanning Electron Microscopy (SEM) acquisition techniques are far too slow to capture large volumes in a feasible time. One solution is to use low-dose and sparse imaging. By computationally denoising and inpainting an image with acceptable q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::809625f66cd8028e0a4d8ebc1563eeb3
https://doi.org/10.1109/dsd57027.2022.00083
https://doi.org/10.1109/dsd57027.2022.00083
