Ferroelectric hafnium and zirconium oxides have undergone rapid scientific development
over the last decade, pushing them to the forefront of ultralow-power electronic systems …

Advancements in AI led to the emergence of in-memory-computing architectures as a
promising solution for the associated computing and memory challenges. This study …

Hyperdimensional computing (HDC) is an emerging computing paradigm that imitates the
brain's structure to offer a powerful and efficient processing and learning model. In HDC, the …

Artificial intelligence has made remarkable advancements in recent years, leading to the
development of algorithms and models capable of handling ever-increasing amounts of …

A ferroelectric thin‐film transistor (FeTFT)‐based synaptic device with an indium–gallium–
zinc oxide (IGZO) channel and a metal–ferroelectric–metal–insulator–semiconductor …

In this paper, we present a temperature and variability-aware Verilog-A-based compact
model for simulating Ferroelectric FET. The model captures the rich physics of ferroelectric …

In today's data-centric world, where data fuels numerous application domains, with machine
learning at the forefront, handling the enormous volume of data efficiently in terms of time …

Machine learning and data analytics applications increasingly suffer from the high latency
and energy consumption of conventional von Neumann architectures. Recently, several in …

While Graph Neural Networks (GNNs) have demonstrated remarkable achievements in
knowledge graph reasoning, their computational efficiency on conventional computing …

The rapid progress of artificial intelligence (AI) has led to the emergence of a highly
promising field known as neuro-symbolic (NeSy) computing. This approach combines the …