HfO 2-based ferroelectric thin films have attracted significant interest for semiconductor
device applications due to their compatibility with complementary metal oxide …

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 …

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 …

The Ferroelectric Field-Effect Transistor (FeFET) is an emerging Non-Volatile Memory (NVM)
technology enabling novel data-centric architectures that go far beyond von Neumann …

Hyperdimensional computing (HDC) is an emerging learning paradigm that has gained a lot
of attention due to its ability to train with fewer data, lightweight implementation, and …

Hyperdimensional Computing (HDC) is rapidly emerging as an attractive alternative to
traditional deep learning algorithms. Despite the profound success of Deep Neural Networks …

In-memory computing (IMC) architecture emerges as a promising paradigm, improving the
energy efficiency of multiply-and-accumulate (MAC) operations within deep neural networks …

Breakthroughs in deep learning consistently drive innovation. However, DNNs tend to
overwhelm conventional computing systems. Hyperdimensional Computing (HDC) is rapidly …

Breakthroughs in deep learning (DL) continuously fuel innovations that profoundly improve
our daily life. However, DNNs overwhelm conventional computing architectures by their …

Ferroelectrics possess a variety of interactions between electrical, mechanical, and thermal
properties, enabling numerous functionalities. Integration of these functionalities into …