High-performance robotic vision empowers mobile and humanoid robots to detect and
identify their surrounding objects efficiently, which enables them to cooperate with humans …

In the era of artificial intelligence (AI), there is a growing interest in replicating human
sensory perception. Selective and sensitive bio‐inspired sensory receptors with synaptic …

Developing fiber electronics presents a practical approach for establishing multi-node
distributed networks within the human body, particularly concerning triboelectric fibers …

Developing an advanced analytical method to detect spermine (Spm) and N-
acetylneuraminic acid (NANA), the biomarkers of breast and ovarian cancers, respectively …

MLP-Mixer based on multilayer perceptrons (MLPs) is a novel architecture of a
neuromorphic computing system (NCS) introduced for image classification tasks without …

Memristive devices have a multitude of potential applications, ranging from neuromorphic
computing systems and chips to bioprosthetic, each demanding distinct characteristics and …

Brain–computer interfaces (BCIs) that enable human–machine interaction have immense
potential in restoring or augmenting human capabilities. Traditional BCIs are realized based …

Human visual neurons rely on event-driven, energy-efficient spikes for communication, while
silicon image sensors do not. The energy-budget mismatch between biological systems and …

The artificial brain is conceived as advanced intelligence technology, capable to emulate in‐
memory processes occurring in the human brain by integrating synaptic devices. Within this …

Intelligent vision necessitates the deployment of detectors that are always‐on and low‐
power, mirroring the continuous and uninterrupted responsiveness characteristic of human …