the demands on the processing capabilities of neural networks have become increasingly rigorous. Optical computing, with the excellent performance of extremely large bandwidth and ultra-low loss, is ...
Optical neural networks implemented with Mach-Zehnder Interferometer (MZI) arrays are a promising solution to enable fast and energy-efficient machine learning inference, yet finding a practical ...
Researchers developed a new optical system that uses holograms to encode information, creating a level of encryption that traditional methods cannot penetrate.
By combining AI with holographic encryption, scientists have developed an ultra-secure data protection system. Their method scrambles laser beams into chaotic patterns, making decryption impossible ...
Transmitting optical information through highly distorting media has long been a challenge. Atmospheric turbulence, fog, and underwater environments distort light signals, making communication ...
As the name suggests, neural networks are inspired by the brain. A neural network is designed to mimic how our brains work to recognize complex patterns and improve over time. Neural networks ...
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...