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Emmanuel Simonyan
June 17, 2021, 11:51 a.m.
  1. What is the possibility of conducting ML experiments (especially in the area of biomedical Image Analysis) without access to high-end Gpu or computing equipment and how can one overcome this challenge?
  2. How can young researchers with a trained model deploy it into production?
  3. What were your struggles if you faced any in building AI-based systems or starting out in the field of AI and how you overcame it.
  4. How do you get to determine what real-life problem that will require an AI solution?
3 Answer requests
Chinasa T. Okolo Managing Director & Com... @ The Diasporic Gro...
city New York City, United States • June 30, 2021, 3:22 p.m.
Fortunately, some large tech companies have begun to democratize access to compute and offer free cloud services. I would check out Google Colaboratory that offers free GPU/TPU access to train models.

There's no specific rule for determining what real-life problems can be solved with AI, if you have sufficient data and a solid understanding of what models can be used to solve the problem, then you can test it out!
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