In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …

The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

Humans and animals have the ability to continually acquire, fine-tune, and transfer
knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is …

In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

The desire to reduce the dependence on curated, labeled datasets and to leverage the vast
quantities of unlabeled data has triggered renewed interest in unsupervised (or self …

Continual learning from a sequential stream of data is a crucial challenge for machine
learning research. Most studies have been conducted on this topic under the single-label …

Mass marketing of battery-electric vehicles (EVs) will require that car buyers have high
confidence in the performance, reliability and safety of the battery in their vehicles. Over the …

Artificial autonomous agents and robots interacting in complex environments are required to
continually acquire and fine-tune knowledge over sustained periods of time. The ability to …

Lifelong learning represents an emerging machine learning paradigm that aims at designing
new methods providing accurate analyses in complex and dynamic real-world …

Deep learning-based predictive quality enables manufacturing companies to make data-
driven predictions of the quality of a produced product based on process data. A central …