The speed of modern digital systems is severely limited by memory latenc...
Transformers' compute-intensive operations pose enormous challenges for ...
Autonomous Driving (AD) related features represent important elements fo...
In today's era of smart cyber-physical systems, Deep Neural Networks (DN...
Complex Deep Neural Networks such as Capsule Networks (CapsNets) exhibit...
Spiking Neural Networks (SNNs) aim at providing energy-efficient learnin...
Spiking Neural Networks (SNNs), despite being energy-efficient when
impl...
Autonomous Driving (AD) related features provide new forms of mobility t...
Currently, Machine Learning (ML) is becoming ubiquitous in everyday life...
Capsule Networks (CapsNets), recently proposed by the Google Brain team,...
Convolutional Neural Networks (CNNs) are extensively in use due to their...
Polar codes have received increasing attention in the past decade, and h...