Crafting a Career
Stephen shares his journey from academia to private practice, emphasizing the need to carve out his own path in the world of computer science. He reflects on the limitations of traditional academic structures and how his brother introduced him to the emerging field of deep learning, reigniting his passion for the discipline. This conversation highlights the balance between theoretical pursuits and practical applications in technology.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Retinal Image Generation for Disease Discovery with Stephen Odaibo - TWIML Talk #284
Related Questions
I am in my final year of the AI department in college in Egypt, and I want to excel in the field. I am currently taking a deep learning course by Andrew Ng. What else should I do to reach my goal of working abroad in leading tech companies and becoming a prominent figure in the field?
How does a career in academia enable one to transcend the notion of meeting business objectives and making short-term impacts to focus on contributing to a world of progress?
Why am I drawn to academia instead of industry, which prioritizes outcome-driven inquiry?