Autonomous Driving (AD) systems extensively manipulate 3D point clouds f...
Binary Neural Networks (BNNs) are showing tremendous success on realisti...
Recurrent Neural Networks (RNNs) are a key technology for applications s...
Deep Neural Networks (DNNs) are widely used in many applications domains...
The outstanding accuracy achieved by modern Automatic Speech Recognition...
Deep Neural Networks (DNNs) have achieved tremendous success for cogniti...
With computers getting more and more powerful and integrated in our dail...
Recurrent Neural Network (RNN) inference exhibits low hardware utilizati...
GPGPU architectures have become established as the dominant parallelizat...
The use of low numerical precision is a fundamental optimization include...
The effectiveness of LSTM neural networks for popular tasks such as Auto...
DNN pruning reduces memory footprint and computational work of DNN-based...
Recurrent Neural Networks (RNNs) are a key technology for emerging
appli...