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 …

Many breakthroughs in the laboratories often do not bridge the gap between research and
commercialization. However, silicon photonics bucked the trend, with industry observers …

The growth of computing needs for artificial intelligence and machine learning is critically
challenging data communications in today's data-centre systems. Data movement …

Deep neural networks with applications from computer vision to medical diagnosis,,,–are
commonly implemented using clock-based processors,,,,,,,–, in which computation speed is …

The growing maturity of integrated photonic technology makes it possible to build
increasingly large and complex photonic circuits on the surface of a chip. Today, most of …

Advanced machine learning models are currently impossible to run on edge devices such
as smart sensors and unmanned aerial vehicles owing to constraints on power, processing …

We present recent advancements of optical phased array LiDAR with record-performance
system demonstrations. First, we give an overview of the technology and how it combines …

Packaging of photonic integrated circuit (PIC) chips is an essential and critical step before
they can be integrated into functional optoelectronic systems. Photonic packaging is …

Harnessing the full complexity of optical fields requires the complete control of all degrees of
freedom within a region of space and time—an open goal for present-day spatial light …

Optical pulse sha** stands as a formidable technique in ultrafast optics, radio-frequency
photonics, and quantum communications. While existing systems rely on bulk optics or …