Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...

Transferring optical information in free space with large bandwidth and high transmission capacity has gained significant attention in various applications, such as remote sensing, underwater ...

A machine learning model has been developed that makes optical spectroscopy data easier and quicker to interpret. Researchers from Rice University (TX, USA) have developed a new machine learning ...

Astronomy has always relied on optical instruments, from the early Galilean telescope to fiber-fed spectrographs, so much so that astronomy and modern optics are called astrophotonics. Since ...

AI models are data-movement limited, so the Salience switch enables all optical networking between compute nodes, removing ...