Computing systems are widely used in medical diagnosis, climate prediction, autonomous
vehicles, etc. As the key part of electronics, the performance of computing systems is crucial …

Focus in deep neural network hardware research for reducing latencies of memory fetches
has steered in the direction of analog-based artificial neural networks (ANN). The promise of …

This work presents 2-bits/cell operation in deeply scaled ferroelectric finFETs (Fe-finFET)
with a 1 µs write pulse of maximum±5 V amplitude and WRITE endurance above 109 cycles …

This letter reports a linear multiply-accumulate (MAC) operation conducted on a crossbar
memory array based on 28nm high-k metal gate (HKMG) Complementary Metal Oxide …

This paper reports 2bits/cell ferroelectric FET (FeFET) devices with 500 ns write pulse of
maximum amplitude 4.5 V for inference-engine applications. FeFET devices were fabricated …

This article reports a novel ferroelectric field-effect transistor (FeFET)-based crossbar array
cascaded with an external resistor. The external resistor is shunted with the column of 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 …

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 …

Today, a large number of applications depend on deep neural networks (DNN) to process
data and perform complicated tasks at restricted power and latency specifications …