Optoelectronic memristors (OMs) have emerged as a promising optoelectronic
Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic …

The quest to imbue machines with intelligence akin to that of humans, through the
development of adaptable neuromorphic devices and the creation of artificial neural …

Machine‐learning‐enhanced nanosensors are rapidly emerging as a promising solution in
the field of sensor technology, as traditional sensors encounter limitations of data analysis in …

Neuromorphic visual systems based on optogenetic techniques have colossal potential for
in‐memory computing with prospects of developing artificial intelligence vision systems …

An artificial nociceptor, as a critical and special bionic receptor, plays a key role in a
bioelectronic device that detects stimuli and provides warnings. However, fully exploiting …

Ion‐based electrochemical random‐access memory (ECRAM) is proposed for synaptic
applications owing to its promising characteristics that have the potential to accelerate data …

Recently, the increasing interest in wearable technology for personal healthcare and smart
virtual/augmented reality applications has led to the development of facile fabrication …

The introduction of foreign ions, atoms, or molecules into emerging functional materials is
crucial for manipulating the physical properties of materials and innovating device …

We report tellurium (Te) thin-film-based artificial photonic synapses and their application to
physical reservoir computing (PRC). The Te-based artificial photonic synapses were …

Artificial intelligence (AI) has rapidly evolved and sparked a heightened interest in the field
of bionic electronics. A key focus in this field is to emulate biological neural networks and …