The ability to accurately predict deep neural network (DNN) inference
pe...
Emerging Internet-of-things (IoT) applications are driving deployment of...
Always-on TinyML perception tasks in IoT applications require very high
...
Online algorithms for detecting changepoints, or abrupt shifts in the
be...
Neural networks have gained importance as the machine learning models th...
Executing machine learning workloads locally on resource constrained
mic...
The success of deep learning has brought forth a wave of interest in com...
The computational demands of computer vision tasks based on state-of-the...
On-device CNN inference for real-time computer vision applications can r...