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Minimizing Noise Using Machine Learning

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. ....

North Sea , Oceans General , Darko Zibar , Jense Pedersen , Group Leader , Technical University Of Denmark , Noise Using Machine , Image Credit , Technical University , Professor Darko Zibar , Machine Learning , Photonic Systems , Mechanics Set , Senior Researcher Poul Varming , Senior Researcher , Poul Varming ,

Closer to perfect laser

Ultra-precise lasers can be used for optical atomic clocks, quantum computers, power cable monitoring, and much more. But all lasers make noise, which ....

North Sea , Oceans General , Darko Zibar , Jense Pedersen , Professor Darko Zibar , Machine Learning , Photonic Systems , Senior Researcher Poul Varming , Poul Varming ,

3D holographic head-up display could improve road safety


Fly-through of Malet St in London based on LiDAR data
Researchers have developed the first LiDAR-based augmented reality head-up display for use in vehicles. Tests on a prototype version of the technology suggest that it could improve road safety by ‘seeing through’ objects to alert of potential hazards without distracting the driver.
The technology, developed by researchers from the University of Cambridge, the University of Oxford and University College London (UCL), is based on LiDAR (light detection and ranging), and uses LiDAR data to create ultra-high-definition holographic representations of road objects which are beamed directly to the driver’s eyes, instead of 2D windscreen projections used in most head-up displays. ....

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