In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or
suppress the memory bottleneck, which is the major concern for energy efficiency and …

Artificial intelligence (AI) is gaining strength, and materials science can both contribute to
and profit from it. In a simultaneous progress race, new materials, systems, and processes …

Artificial intelligence (AI) has the ability of revolutionizing our lives and society in a radical
way, by enabling machine learning in the industry, business, health, transportation, and …

The sensory nervous system (SNS) builds up the association between external stimuli and
the response of organisms. In this system, habituation is a fundamental characteristic that …

The ever‐increasing processing power demands of digital computers cannot continue to be
fulfilled indefinitely unless there is a paradigm shift in computing. Neuromorphic computing …

The exploration of bionic neuromorphic chips, capable of processing sensory data in a
human‐like manner, is both a trend and a challenge. There is a strong demand for …

Although two-dimensional (2D) nanomaterials are promising candidates for use in memory
and synaptic devices owing to their unique physical, chemical, and electrical properties, the …

Electronic devices with biomaterials have paved a way toward “green electronics” to create
a sustainable future. Memristors are drawing growing attention with integrated sensing …

Memristors are now becoming a prominent candidate to serve as the building blocks of non-
von Neumann in-memory computing architectures. By mapping analog numerical matrices …

With the rapid growth of computer science and big data, the traditional von Neumann
architecture suffers the aggravating data communication costs due to the separated structure …