Edge computing and artificial intelligence (AI), especially deep learning algorithms, are
gradually intersecting to build the novel system, namely edge intelligence. However, the …

Deep learning applications have been widely adopted on edge devices, to mitigate the
privacy and latency issues of accessing cloud servers. Deciding the number of neurons …

Deep neural networks (DNNs) have recently achieved impressive success across a wide
range of real-world vision and language processing tasks, spanning from image …

This paper explores CMOS-compatible Ferroelectric Tunnel Junctions (FTJs) for Processing-
In-Memory (PIM) to address the 'memory wall'in traditional computing. A novel FTJ noise …

Deep Neural Networks (DNNs) have made significant advancements in various domains,
including computer vision (CV), natural language processing (NLP), etc. With the Internet of …

Deep neural networks (DNNs) have achieved remarkable results and have become the
mainstay of many applications including autonomous driving and emerging AI-enabled …