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Home > This Week in Machine Learning & Artificial Intelligence (AI) Podcast > An Optimized Recurrent Unit for Ultra-Low Power Acoustic Event Detection with Justice Amoh Jr. - TWiML Talk #230
Podcast: This Week in Machine Learning & Artificial Intelligence (AI) Podcast
Episode:

An Optimized Recurrent Unit for Ultra-Low Power Acoustic Event Detection with Justice Amoh Jr. - TWiML Talk #230
Category: Technology
Duration: 00:45:51
Publish Date: 2019-02-11 15:43:35
Description:

Today, we're joined by Justice Amoh Jr., a Ph.D. student at Dartmouth’s Thayer School of Engineering.

Justice presented his work on “An Optimized Recurrent Unit for Ultra-Low Power Acoustic Event Detection.” In our conversation, we discuss his goal of bringing low cost, high-efficiency wearables to market for monitoring asthma. We explore the many challenges of using classical machine learning models on microcontrollers, and how he went about developing models optimized for constrained hardware environments. We’d also like to wish Justice the best of luck as he should be defending his Ph.D. any day now!

The complete show notes for this episode can be found at https://twimlai.com/talk/230. To follow along with the Black in AI series, visit https://twimlai.com/blackinai19.

 
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