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 …

Future‐generation neuromorphic computing seeks to overcome the limitations of von
Neumann architectures by colocating logic and memory functions, thereby emulating the …

The effective mimicry of neurons is key to the development of neuromorphic electronics.
However, artificial neurons are not typically capable of operating in biological environments …

Physiological signal processing plays a key role in next-generation human-machine
interfaces as physiological signals provide rich cognition-and health-related information …

Current hardware approaches to biomimetic or neuromorphic artificial intelligence rely on
elaborate transistor circuits to simulate biological functions. However, these can instead be …

Neuromorphic computing targets the hardware embodiment of neural network, and device
implementation of individual neuron and synapse has attracted considerable attention. The …

Organic artificial neurons operating in liquid environments are crucial components in
neuromorphic bioelectronics. However, the current understanding of these neurons is …

While digital computers rely on software-generated pseudo-random number generators,
hardware-based true random number generators (TRNGs), which employ the natural …

The reversible phase transition in vanadium dioxide (VO 2) with light, heat, electric,
magnetic, and mechanical stimuli is the enabling concept to function as a smart material. It is …

Heat dissipation is a natural consequence of operating any electronic system. In nearly all
computing systems, such heat is usually minimized by design and cooling. Here, we show …