Integrated photonic circuits are created as a stable and small form factor analogue of fiber-
based optical systems, from wavelength-division multiplication transceivers to more recent …

The amount of data processed in the cloud, the development of Internet-of-Things (IoT)
applications, and growing data privacy concerns force the transition from cloud-based to …

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 …

Computationally hard combinatorial optimization problems (COPs) are ubiquitous in many
applications. Various digital annealers, dynamical Ising machines, and quantum/photonic …

In a number of machine learning models, an input query is searched across the trained class
vectors to find the closest feature class vector in cosine similarity metric. However …

Since its inception in 2014 [1], the modern version of in-memory computing (IMC) has
become an active area of research in integrated circuit design globally for realizing artificial …

In-memory computing (IMC) architectures have emerged as a compelling platform to
implement energy-efficient machine learning (ML) systems. However, today, the energy …

In this work, we identify the potential challenges of ambipolar ferroelectric field effect
transistor (FeFET) in building a single transistor CAM array to perform parallel hamming …

Non-volatile memory (NVM) such as RRAM and PCM has become the key component in
high energy efficiency computing-in-memory (CIM) architectures. However, the computing …

Ferroelectric field-effect transistors (FeFETs) have attracted enormous attention for low-
power and high-density nonvolatile memory devices in processing-in-memory (PIM) …