Futurist and author Trond Arne Undheim interviews Otkrist Gupta, who talks about reality and hype in deep learning, a sub-field of artificial intelligence. The takeaway is that deep learning is a promising technique but faces steep challenges getting ou...
Futurist and author Trond Arne Undheim interviews Otkrist Gupta, who talks about reality and hype in deep learning, a sub-field of artificial intelligence.
The takeaway is that deep learning is a promising technique but faces steep challenges getting out of the black box of explainability, generalizability and data efficiency. The future depends on it.
The show is hosted by Podbean and can be found at Futurized.co. Additional context about the show, the topics, and our guests, including show notes and a full list of podcast players that syndicate the show can be found at https://trondundheim.com/podcast/. Music: Electricity by Ian Post from the album Magnetism.
For more about the host, including media coverage, books and more, see Trond Arne Undheim's personal website (https://trondundheim.com/) as well as the Yegii Insights blog (https://yegii.wpcomstaging.com/). Undheim has published two books this year, Pandemic Aftermath and Disruption Games. To advertise or become a guest on the show, contact the podcast host here. If you like the show, please subscribe and consider rating it five stars.
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e works at camera culture, his research is focused on inventing new algorithms for deep learning for health screening and diagnosis, hidden geometry detection, exploiting techniques from optimization, linear algebra and compressive sensing. He also works on designing algorithms for futuristic 3Dprojective displays.
Before joining MIT Media Lab Otkrist worked in Google Now team where he built voice actions such as take a picture and what's on my Chromecast and worked on voice response quality from Google Now. He also worked in LinkedIn where he developed services such as Smart ToDo, Ultra fast auto-complete, Notifications and CheckIn platform. He completed his bachelors from Indian Institute of Technology Delhi (IITD) in Computer Science with emphasis on algorithms and linear algebra. After graduating from IITD, he worked for one year in field of High Frequency Trading at Tower Research Capital.