The concept of quantum computing has evolved over nearly a century to a point now where
it is no longer science-fiction. However, conceptual extensions of quantum computation and …

Artificial intelligences are indispensable social infrastructures, neural networks are
embodiment methodologies, and neuromorphic systems are promising solutions for …

Neuromorphic circuits offer a means to emulate or interface with the nervous system, yet
detailed model implementations remain underexplored. This paper proposes an analog …

Digital electronics is a technological cornerstone in this modern society that has covered the
increasing demand for computing power during the last decades thanks to a periodic …

Music genre recognition (MGR) is an area of research in the broad scope of music
information retrieval (MIR) and audio signal processing. Music genres are categorical labels …

With a widely attended virtual kickoff event on January 29, 2021, the National Cancer
Institute (NCI) and the Department of Energy (DOE) launched a series of 4 interactive …

We have developed a neuromorphic system using crosspoint-type TaOx/Ta memristors and
direct device training for associative memory. First, crosspoint-type TaOx/Ta memristors are …

The rapid advancement in AI requires efficient accelerators for training on edge devices,
which often face challenges related to the high hardware costs of floating-point arithmetic …

In the era of the Internet of things (IoT), billions of sensors, machines, vehicles, drones, and
robots will be connected, making the world around us smarter. Artificial Intelligence of …

Multimedia compression is a fundamental and significant research topic in the industrial field
in the past several decades attempting to improve compression techniques. It is always a …