An Optimized Recurrent Unit for Ultra-Low Power Acoustic Event Detection with Justice Amoh Jr. - TWiML Talk #230

An Optimized Recurrent Unit for Ultra-Low Power Acoustic Event Detection with Justice Amoh Jr. - TWiML Talk #230

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 challenges of using classical machine learning models on microcontrollers, and how he went about developing models optimized for constrained hardware environm

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ML Use Cases at Think Big Analytics with Mo Patel and Laura Frølich - TWiML Talk #54

ML Use Cases at Think Big Analytics with Mo Patel and Laura Frølich - TWiML Talk #54

The show you’re about to hear is part of a series of shows recorded in San Francisco at the Artificial Intelligence Conference. This time around, I speak with Mo Patel, practice director of AI & deep ...

6 Loka 201745min

Intel Nervana Devcloud with Naveen Rao & Scott Apeland - TWiML Talk #51

Intel Nervana Devcloud with Naveen Rao & Scott Apeland - TWiML Talk #51

In this episode, I talk to Naveen Rao, VP and GM of Intel’s AI Products Group, and Scott Apeland, director of Intel’s Developer Network. It's been a few months since we last spoke to Naveen, so he giv...

6 Loka 201737min

Ray: A Distributed Computing Platform for Reinforcement Learning with Ion Stoica - TWiML Talk #55

Ray: A Distributed Computing Platform for Reinforcement Learning with Ion Stoica - TWiML Talk #55

The show you’re about to hear is part of a series of shows recorded in San Francisco at the Artificial Intelligence Conference. In this episode, I talk with Ion Stoica, professor of computer science &...

5 Loka 201728min

Topological Data Analysis with Gunnar Carlsson - TWiML Talk #53

Topological Data Analysis with Gunnar Carlsson - TWiML Talk #53

The show you’re about to hear is part of a series of shows recorded in San Francisco at the Artificial Intelligence Conference. My guest for this show is Gunnar Carlsson, professor emeritus of mathema...

3 Loka 201733min

Bayesian Optimization for Hyperparameter Tuning with Scott Clark - TWiML Talk #50

Bayesian Optimization for Hyperparameter Tuning with Scott Clark - TWiML Talk #50

As you all know, a few weeks ago, I spent some time in SF at the Artificial Intelligence Conference. While I was there, I had just enough time to sneak away and catch up with Scott Clark, Co-Founder a...

2 Loka 201747min

Symbolic and Sub-Symbolic Natural Language Processing with Jonathan Mugan - TWiML Talk #49

Symbolic and Sub-Symbolic Natural Language Processing with Jonathan Mugan - TWiML Talk #49

Like last week’s interview with Bruno Goncalves, this week’s interview was also recorded at the last O’Reilly AI Conference back in New York in June. Also like last week’s show, this week’s is also fo...

25 Syys 201743min

Word2Vec & Friends with Bruno Gonçalves - TWiML Talk #48

Word2Vec & Friends with Bruno Gonçalves - TWiML Talk #48

This week i'm bringing you an interview from Bruno Goncalves, a Moore-Sloan Data Science Fellow at NYU. As you’ll hear in the interview, Bruno is a longtime listener of the podcast. We were able to co...

19 Syys 201732min

Evolutionary Algorithms in Machine Learning with Risto Miikkulainen - TWiML Talk #47

Evolutionary Algorithms in Machine Learning with Risto Miikkulainen - TWiML Talk #47

My guest this week is Risto Miikkulainen, professor of computer science at UT-Austin and vice president of Research at Sentient Technologies. Risto came locked and loaded to discuss a topic that we've...

11 Syys 201758min

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