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 ...