5 papers
Effective Training Principles of Physical Reservoirs
Sobhi Saeed, Mehmet Müftüoglu, Glitta R. Cheeran +3
Reservoir computers benefit from the inherent complexity of optical phenomena, which provide rich, often nonlinear dynamics. However, training directly on the reservoir's output re…
Kerr-induced In-line Interferometry for Ultra-sensitive Phase-Contrast Imaging
Glitta R. Cheeran, Mehmet MüftüoÄlu, Sobhi Saeed +2
Measuring the phase of light is fundamental to optical imaging, sensing, and signal processing applications. Conventional optical phase measurements rely on multipath configuration…
Fostering cultural change in research through innovative knowledge sharing, evaluation, and community engagement strategies
Junsuk Rho, Jinn-Kong Sheu, Andrew Forbes +30
Bringing together researchers, funders, industry partners, and publishers from 14 countries across 5 continents, we advance the debate around open-science, assessment and learning.…
Nonlinear Inference Capacity of Fiber-Optical Extreme Learning Machines
Sobhi Saeed, Mehmet Müftüoglu, Glitta R. Cheeran +3
The intrinsic complexity of nonlinear optical phenomena offers a fundamentally new resource to analog brain-inspired computing, with the potential to address the pressing energy re…
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…