Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang

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December 17, 2019
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Today we’re joined by Bryton Shang, Founder & CEO at Aquabyte.

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We caught up with Bryton after his talk at re:Invent’s ML Summit to discuss Aquabyte, which focuses on the application of computer vision to various fish farming use cases, including detecting sea lice. In our conversation, we discuss how Bryton identified the various problems associated with mass fish farming and how he eventually moved to Norway to develop the solution alongside fish farmers. Bryton details the challenges with developing machine learning solutions that can measure the height and weight of fish, the use of computer vision algorithms in assessing issues like sea lice, which can be up to 25% of the cost associated with running farms, and cool new features in the works like facial recognition for fish!

Thanks to our sponsor!

I’d like to thank our friends at Capital One for sponsoring our re:Invent series. Capital One has been a huge friend and supporter of the podcast for some time now, and I’m looking forward to sharing my interview with Dave Castillo, Capital One’s Managing VP of Machine Learning with you on Thursday. Dave and I discuss the unique approach being taken at the company’s “Center for Machine Learning,” as well as some interesting AI use cases being developed at the bank, and the platform they’re building to support their ML and AI efforts. Once again, check back in on Thursday, December 19th for that conversation.