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Learning from Light: An Optica Incubator on Machine Learning

13 - 15 September 2023
Optica Global Headquarters, Washington, DC, USA


  • Paul Campagnola, University of Wisconsin-Madison, United States
  • Rama Chellappa, Johns Hopkins University, United States
  • Antonio Napoli, Infinera Corp., Germany

View the program book for this incubator here.

Program Overview

Recent advances in machine learning have generated remarkable performance improvements in computer vision, robotics, natural language processing, self-driving cars and several other disciplines. This incubator will investigate the prospects of machine learning methodologies for processing and communicating optical information collected by optical systems.

Scope and Topics

The goal of this incubator is to bring together experts from machine learning, optical information processing and communication to explore the ways in which these communities can collaborate and generate new science that affects these disciplines.

Through invited talks, breakout sessions and moderated discussion periods and informal networking, the program will introduce recent advances in machine learning for researchers in optics and introduce optical data handling problems to machine learning researchers. In addition, the potential for new science and applications in areas such as biomedical imaging/microscopy, machine learning for managing optical networks and enhancing their performance, neuro-optical computing and remote sensing will be addressed.

This incubator is supported in part by:

Reality Labs Research Johns Hopkins Whiting School of Engineering  
Artificial Intelligence for Engineering and Medicine Lab  



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