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MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers

MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers

Karola Woods

We are making bigger demands on the internet all the time. Machine learning (ML) and artificial intelligence (AI) will make the internet and optical communications more powerful, reliable and robust. The MSCA (Marie Sklodowska Curie Actions) European Industrial Doctorate (EID) MENTOR (Machine Learning in Optical Networks) has six EC-funded ML&AI Early Stage Researchers (ESRs) working on cutting-edge optical networks. Find out more on ML&AI and the amazing MSCA programmes by taking a listen! MENTOR is funded by EC Horizon 2020, under MSCA Grant 956713.

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Questions & Answers

How many episodes are there of MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers?

There are 5 episodes avaiable of MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers.

What is MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers about?

We have categorized MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers as:

  • Science
  • Physics

Where can you listen to MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers?

MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers is available, among others places, on:

  • Spotify
  • Apple Podcasts
  • Podtail
  • Google Podcasts

When did MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers start?

The first episode of MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers that we have available was released 30 September 2022.

Who creates the podcast MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers?

MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers is produced and created by Karola Woods.