The perfect laser does not exist. There will always be a bit of phase noise because the laser light frequency moves back and forth a little. Phase noise prevents the laser from producing light waves with the perfect steadiness that is otherwise a cha
Ultra-precise lasers find their use in various applications. For example, power cable monitoring, quantum computers, optical atomic clocks, and much more. However, all lasers tend to make noise, which scientists from DTU Fotonik wish to reduce with the help of machine learning.
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Machine learning to accelerate green internet development
Machine learning and artificial intelligence are becoming increasingly important tools in the development of the energy efficient internet and data transmission of the future. DTU is strengthening the area with the appointment of Group Leader Darko Zibar as Professor at DTU Fotonik.
It is a well-established fact that machine learning and artificial intelligence can find connections in large data sets e.g. in the health sector but it is relatively new that researchers are beginning to see how the methods can be applied in developing energy-saving solutions in such fundamental internet technologies as optical communication and intelligent optical systems.