Machine learning and applications in ultrafast photonics
Recent years have seen the rapid growth and development of the field of smart photonics,
where machine-learning algorithms are being matched to optical systems to add new …
where machine-learning algorithms are being matched to optical systems to add new …
Prospects and applications of photonic neural networks
C Huang, VJ Sorger, M Miscuglio… - … in Physics: X, 2022 - Taylor & Francis
Neural networks have enabled applications in artificial intelligence through machine
learning, and neuromorphic computing. Software implementations of neural networks on …
learning, and neuromorphic computing. Software implementations of neural networks on …
[HTML][HTML] Next generation reservoir computing
Reservoir computing is a best-in-class machine learning algorithm for processing
information generated by dynamical systems using observed time-series data. Importantly, it …
information generated by dynamical systems using observed time-series data. Importantly, it …
Novel YOLOv3 model with structure and hyperparameter optimization for detection of pavement concealed cracks in GPR images
Z Liu, X Gu, H Yang, L Wang, Y Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurately identifying and localizing concealed cracks in asphalt pavements through
nondestructive ground-penetrating radar (GPR) testing has attracted much attention …
nondestructive ground-penetrating radar (GPR) testing has attracted much attention …
Bayesian-optimized deep learning model to segment deterioration patterns underneath bridge decks photographed by unmanned aerial vehicle
In recent years, bridge collapses and fractures have occurred in various countries mostly
following a lack of inspection and maintenance. External inspection processes can be very …
following a lack of inspection and maintenance. External inspection processes can be very …
High speed human action recognition using a photonic reservoir computer
The recognition of human actions in videos is one of the most active research fields in
computer vision. The canonical approach consists in a more or less complex preprocessing …
computer vision. The canonical approach consists in a more or less complex preprocessing …
[HTML][HTML] Recent progress of neuromorphic computing based on silicon photonics: Electronic–photonic Co-design, device, and architecture
The rapid development of neural networks has led to tremendous applications in image
segmentation, speech recognition, and medical image diagnosis, etc. Among various …
segmentation, speech recognition, and medical image diagnosis, etc. Among various …
Deep photonic reservoir computer for speech recognition
Speech recognition is a critical task in the field of artificial intelligence (AI) and has
witnessed remarkable advancements thanks to large and complex neural networks, whose …
witnessed remarkable advancements thanks to large and complex neural networks, whose …
Impact of optical coherence on the performance of large-scale spatiotemporal photonic reservoir computing systems
Large-scale spatiotemporal photonic reservoir computer (RC) systems offer remarkable
solutions for massively parallel processing of a wide variety of hard real-world tasks. In such …
solutions for massively parallel processing of a wide variety of hard real-world tasks. In such …
Efficient Optimisation of Physical Reservoir Computers using only a Delayed Input
We present an experimental validation of a recently proposed optimization technique for
reservoir computing, using an optoelectronic setup. Reservoir computing is a robust …
reservoir computing, using an optoelectronic setup. Reservoir computing is a robust …