The shift towards a distributed computing paradigm, where multiple systems acquire and
elaborate data in real-time, leads to challenges that must be met. In particular, it is becoming …

Neuromorphic computing provides alternative hardware architectures with high
computational efficiencies and low energy consumption by simulating the working principles …

A continuous exponential rise has been observed in the storage and processing of the data
that may not curtail in the foreseeable future. The required data processing speed and …

Neuromorphic computing is a promising alternative to conventional computing systems as it
could enable parallel computation and adaptive learning process. However, the …

Brain-like computing is an important direction for the development of integrated circuits in
the post-Moore era, and the development of artificial synaptic devices that can simulate ideal …

Flexible electronic devices have been extensively studied for their advantages of
distinguished portability, conformal contact characteristics, and human‐friendly interfaces …

Neuromorphic computing that mimics the biological brain has been demonstrated as a next-
generation computing method due to its low power consumption and parallel data …

To meet the requirement of data-intensive computing in the data-explosive era, brain-
inspired neuromorphic computing have been widely investigated for the last decade …

Artificial synapses can boost neuromorphic computing to overcome the inherent limitations
of von Neumann architecture. As a promising memristor candidate, ferroelectric tunnel …

Growth of data eases the way to access the world but requires increasing amounts of energy
to store and process. Neuromorphic electronics has emerged in the last decade, inspired by …