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 …

Optical imaging systems have greatly extended human visual capabilities, enabling the
observation and understanding of diverse phenomena. Imaging technologies span a broad …

Photonic computing enables faster and more energy-efficient processing of vision data,,,–.
However, experimental superiority of deployable systems remains a challenge because of …

Rapid developments in machine vision technology have impacted a variety of applications,
such as medical devices and autonomous driving systems. These achievements, however …

Multimodal deep learning plays a pivotal role in supporting the processing and learning of
diverse data types within the realm of artificial intelligence generated content (AIGC) …

Complex-valued neural networks process both amplitude and phase information, in contrast
to conventional artificial neural networks, achieving additive capabilities in recognizing …

Advancements in optical coherence control,,,–have unlocked many cutting-edge
applications, including long-haul communication, light detection and ranging (LiDAR) and …

Diffractive neural network in electromagnetic wave–driven system has attracted great
attention due to its ultrahigh parallel computing capability and energy efficiency. However …

Optoelectronic neural networks (ONN) are a promising avenue in AI computing due to their
potential for parallelization, power efficiency, and speed. Diffractive neural networks, which …

Using photons in lieu of electrons to process information has been an exciting technological
prospect for decades. Optical computing is gaining renewed enthusiasm, owing to the …