We introduce a novel photonic neural network using photonic crystal fibers, leveraging
femtosecond pulse supercontinuum generation for optical computing. Investigating its …

A novel optical computing framework is presented by harnessing spatiotemporal nonlinear
effects of multimode fibers for machine learning. With linear and nonlinear interactions of …

Photonic neural networks benefit from the use of photons to perform intelligent inference
computing with ultrafast and ultralow energy consumption in ultra-high-throughput, providing …

Numerical simulations of optical pulse evolution are often a cumbersome task, mostly due to
the presence of nonlinearities, and standard numerical approaches like splitting methods …

Deep neural networks have achieved remarkable breakthroughs by leveraging multiple
layers of data processing to extract hidden representations, albeit at the cost of large …

Conference title, upper and lower case, bolded, 18 point type, centered Page 1 Smart
Nonlinear Photonics: From On-chip Pulse Processing to Tailored Nonlinear Fiber Propagation …

Photonic brain-inspired platforms are emerging as novel analog computing devices,
enabling fast and energy-efficient operations for machine learning. These artificial neural …

The propagation of ultrashort pulses in optical fibre plays a central role in the development
of light sources and photonic technologies, with applications from fundamental studies of …

To accurately predict the complex dynamical processes of supercontinuum generation in
optical fibers, an integrated deep learning model was constructed in this study, fully …

Convolutional neural networks (CNNs), inspired by biological visual cortex systems, are a
powerful category of artificial neural networks that can extract the hierarchical features of raw …