Machine-learning and AI, MENTOR Early Stage Researcher, Abdennour Ben Terki at Sant'Anna School of Advanced Studies, Italy

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

Karola Woods

5 episodes

4 days ago

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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Machine-learning and AI, MENTOR Early Stage Researcher, Abdennour Ben Terki at Sant'Anna School of Advanced Studies, Italy

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

22 minutes 46 seconds

2 years ago

Machine-learning and AI, MENTOR Early Stage Researcher, Abdennour Ben Terki at Sant'Anna School of Advanced Studies, Italy

In this episode (3 of 5), Abdennour Ben Terki at Sant'Anna School of Advanced Studies, Pisa, Italy, talks about being a researcher on the EC-funded European Industrial Doctorate MENTOR. Abdennour talks about how machine learning is used in every day life and what it's like going deeper into a subject by doing a PhD. MENTOR is an EC-funded project based in different countries with researchers and academic and industrial machine learning experts tackling the optical communications challenges of tomorrow. There are six researchers located in top research institutes around the UK and in Europe. If you are thinking of a PhD or a career in optical networks research or in the optical communications industry, this podcast is for you. Find out more on ML&AI and the MSCA programmes by taking a listen. MENTOR is funded by EC Horizon 2020, under Marie Curie Sklodowska (MSCA) Grant 956713.