Part-2 of my podcast with David Stutz. (Part-1:    • Part-1 Adversarial robustness in Neur...  )
David is a research scientist at DeepMind working on building robust and safe deep learning models. Prior to joining DeepMind he was a PhD student at Max Plank Institute of Informatics. He also maintains a fantastic blog on various topics related to machine learning and graduate life which is insightful to young researchers out there.

00:00:00 Working at DeepMind
00:08:20 Importance of Abstraction and Collaboration in research
00:13:08 DeepMind internship project
00:19:39 What drives research projects at DeepMind
00:27:45 Research in Industry vs Academia
00:30:45 Interview tips for research roles, at DeepMind or other companies
00:44:38 Finding the right Advisor & Institute for PhD
01:02:12 Do you really need a PhD to do AI/ML research?
01:08:28 Academia vs Industry: making the choice
01:10:49 Pressure to publish more papers
01:21:35 Artificial General Intelligence (AGI)
01:33:24 Advice to young enthusiasts on getting started

David's Homepage: https://davidstutz.de/
And his blog: https://davidstutz.de/category/blog/
Research work: https://scholar.google.com/citations?...

Also check-out these talks on all available podcast platforms: https://jayshah.buzzsprout.com

About the Host:
Jay is a PhD student at Arizona State University.
Linkedin:   / shahjay22  
Twitter:   / jaygshah22  
Homepage: https://www.public.asu.edu/~jgshah1/ for any queries.

Stay tuned for upcoming webinars!

**Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.**