Lifelong learning—an agent's ability to learn throughout its lifetime—is a hallmark of
biological learning systems and a central challenge for artificial intelligence (AI). The …

With the advent of low-power neuromorphic computing systems, new possibilities have
emerged for deployment in various sectors, like healthcare and transport, that require …

Edge devices operating in dynamic environments critically need the ability to continually
learn without catastrophic forgetting. The strict resource constraints in these devices pose a …

Neural network models catastrophically forget previously learned information while
acquiring new knowledge, requiring a fundamental change in learning models and …

Learning Continually in Silicon Page 1 160 COMPUTER PUBLISHED BY THE IEEE
COMPUTER SOCIETY 0018-9162/24©2024IEEE SECTION TITLE MICROELECTRONICS IM …

Lifelong learning, the ability to learn from continually changing data distributions in real-time,
is a significant challenge in artificial intelligence. The central issue is that new learning tends …

The demand to deploy deep learning models on edge devices has recently increased due to
their pervasiveness, in applications ranging from healthcare to precision agriculture …

Lifelong learning, which refers to an agent's ability to continuously learn and enhance its
performance over its lifespan, is a significant challenge in artificial intelligence (AI), that …

The demand to deploy deep learning models on edge devices has recently increased due to
their pervasiveness, in applications ranging from healthcare to precision agriculture …