39 citations · 46 across the 7 of their papers we have counts for
3 papers · 1 filter
Efficient Error-Tolerant Quantized Neural Network Accelerators
Giulio Gambardella, Johannes Kappauf, Michaela Blott +4
Neural Networks are currently one of the most widely deployed machine learning algorithms. In particular, Convolutional Neural Networks (CNNs), are gaining popularity and are evalu…
Real-Time Machine Learning Based Fiber-Induced Nonlinearity Compensation in Energy-Efficient Coherent Optical Networks
Elias Giacoumidis, Yi Lin, Michaela Blott +1
We experimentally demonstrate the first field-programmable gate-array-based real-time fiber nonlinearity compensator (NLC) using sparse K-means++ machine learning clustering in an…
QuTiBench: Benchmarking Neural Networks on Heterogeneous Hardware
Michaela Blott, Lisa Halder, Miriam Leeser +1
Neural Networks have become one of the most successful universal machine learning algorithms. They play a key role in enabling machine vision and speech recognition for example. Th…