Memristive devices, which combine a resistor with memory functions such that voltage
pulses can change their resistance (and hence their memory state) in a nonvolatile manner …

Touch is a complex sensing modality owing to large number of receptors (mechano, thermal,
pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather …

In the quest for emerging in-sensor computing, materials that respond to optical stimuli in
conjunction with non-volatile phase transition are highly desired for realizing bioinspired …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

In-memory computing could enhance computing energy efficiency by directly implementing
multiply accumulate (MAC) operations in a crossbar memory array with low energy …

Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL)
techniques, which rely on networks of connected simple computing units operating in …

Artificial neuronal devices are critical building blocks of neuromorphic computing systems
and currently the subject of intense research motivated by application needs from new …

Neuromorphic computing requires electronic systems that can perform massively parallel
computational tasks with low energy consumption. Such systems have traditionally been …

Spintronic nano-synapses and nano-neurons perform neural network operations with high
accuracy thanks to their rich, reproducible and controllable magnetization dynamics. These …

Metal–insulator transition (MIT) coupled with an ultrafast, significant, and reversible resistive
change in Mott insulators has attracted tremendous interest for investigation into next …