A typical machine learning (ML) development cycle for edge computing is ...
The AMD UltraScale+ XCZU9EG device is a Multi-Processor System-on-Chip
(...
We present a theory of ensemble diversity, explaining the nature and eff...
QNNVerifier is the first open-source tool for verifying implementations ...
Progress in the last decade has brought about significant improvements i...
Energy use is a key concern when deploying deep learning models on mobil...
Modern operating systems all support multi-users that users could share ...
Predicting the execution time of queries is an important problem with
ap...
We examine the practice of joint training for neural network ensembles, ...
SLAM is becoming a key component of robotics and augmented reality (AR)
...
Visual understanding of 3D environments in real-time, at low power, is a...
There is a huge demand for on-device execution of deep learning algorith...
Energy-use is a key concern when migrating current deep learning applica...
Real-time dense computer vision and SLAM offer great potential for a new...