Rationally designed architected materials have attained previously untapped territories in
materials property space. The properties and behaviours of architected materials need not …

There has been a resurgence of interest in optical computing since the early 2010s, both in
academia and in industry, with much of the excitement centred around special-purpose …

Neuromorphic computing takes inspiration from the brain to create energy-efficient hardware
for information processing, capable of highly sophisticated tasks. Systems built with standard …

The field of 3D micro‐optics is rapidly expanding, and essential advances in femtosecond
laser direct‐write 3D multi‐photon lithography (MPL, also known as two‐photon or multi …

Deep learning in the context of nano-photonics is mostly discussed in terms of its potential
for inverse design of photonic devices or nano-structures. Many of the recent works on …

Neural networks have enabled applications in artificial intelligence through machine
learning, and neuromorphic computing. Software implementations of neural networks on …

Optical computing holds significant promise of information processing with ultrahigh speed
and low power consumption. Recent developments in nanophotonic structures have …

Artificial intelligence has prevailed in all trades and professions due to the assistance of big
data resources, advanced algorithms, and high-performance electronic hardware. However …

The exponential growth of information stored in data centers and computational power
required for various data-intensive applications, such as deep learning and AI, call for new …

The rapid development of artificial intelligence (AI) facilitates various applications from all
areas but also poses great challenges in its hardware implementation in terms of speed and …