A grand family of two-dimensional (2D) materials and their heterostructures have been
discovered through the extensive experimental and theoretical efforts of chemists, material …

Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

In-sensor processing, which can reduce the energy and hardware burden for many machine
vision applications, is currently lacking in state-of-the-art active pixel sensor (APS) …

Metasurfaces are 2D artificial materials consisting of arrays of metamolecules, which are
exquisitely designed to manipulate light in terms of amplitude, phase, and polarization state …

Recently, the increasing demand for data-centric applications is driving the elimination of
image sensing, memory and computing unit interface, thus promising for latency-and energy …

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 …

The number of nodes typically used in sensory networks is growing rapidly, leading to large
amounts of redundant data being exchanged between sensory terminals and computing …

Neuromorphic perception systems inspired by biology have tremendous potential in
efficiently processing multi-sensory signals from the physical world, but a highly efficient …

Rapid digital technology advancement has resulted in a tremendous increase in computing
tasks imposing stringent energy efficiency and area efficiency requirements on next …

The performance of conventional computer based on von Neumann architecture is limited
due to the physical separation of memory and processor. By synergistically integrating …