Human-in-the-Loop AI for Emergency Response & More w/ Robert Munro - TWiML Talk #125

Human-in-the-Loop AI for Emergency Response & More w/ Robert Munro - TWiML Talk #125

In this episode, I chat with Rob Munro, CTO of the newly branded Figure Eight, formerly known as CrowdFlower. Figure Eight’s Human-in-the-Loop AI platform supports data science & machine learning teams working on autonomous vehicles, consumer product identification, natural language processing, search relevance, intelligent chatbots, and more. Rob and I had a really interesting discussion covering some of the work he’s previously done applying machine learning to disaster response and epidemiology, including a use case involving text translation in the wake of the catastrophic 2010 Haiti earthquake. We also dig into some of the technical challenges that he’s encountered in trying to scale the human-in-the-loop side of machine learning since joining Figure Eight, including identifying more efficient approaches to image annotation as well as the use of zero shot machine learning to minimize training data requirements. Finally, we briefly discuss Figure Eight’s upcoming TrainAI conference, which takes place on May 9th & 10th in San Francisco. Train AI you can join me and Rob, along with a host of amazing speakers like Garry Kasparov, Andrej Karpathy, Marti Hearst and many more and receive hands-on AI, machine learning and deep learning training through real-world case studies on practical machine learning applications. For more information on TrainAI, head over to figure-eight.com/train-ai, and be sure to use code TWIMLAI for 30% off your registration! For those of you listening to this on or before April 6th, Figure Eight is offering an even better deal on event registration. Use the code figure-eight to register for only 88 dollars. The notes for this show can be found at twimlai.com/talk/125.

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Holistic Optimization of the LinkedIn News Feed - TWiML Talk #224

Holistic Optimization of the LinkedIn News Feed - TWiML Talk #224

Today we’re joined by Tim Jurka, Head of Feed AI at LinkedIn. In our conversation, Tim describes the holistic optimization of the feed and we discuss some of the interesting technical and business cha...

28 Tammi 201948min

AI at the Edge at Qualcomm with Gary Brotman - TWiML Talk #223

AI at the Edge at Qualcomm with Gary Brotman - TWiML Talk #223

Today we’re joined by Gary Brotman, Senior Director of Product Management at Qualcomm Technologies, Inc. Gary, who got his start in AI through music, now leads strategy and product planning for the c...

24 Tammi 201951min

AI Innovation at CES - TWiML Talk #222

AI Innovation at CES - TWiML Talk #222

A few weeks ago, I made the trek to Las Vegas for the world’s biggest electronics conference, CES. In this special visual only episode, we’re going to check out some of the interesting examples of mac...

21 Tammi 20192min

Self-Tuning Services via Real-Time Machine Learning with Vladimir Bychkovsky - TWiML Talk #221

Self-Tuning Services via Real-Time Machine Learning with Vladimir Bychkovsky - TWiML Talk #221

Today we’re joined by Vladimir Bychkovsky, Engineering Manager at Facebook, to discuss Spiral, a system they’ve developed for self-tuning high-performance infrastructure services at scale, using real-...

17 Tammi 201946min

Building a Recommender System from Scratch at 20th Century Fox with JJ Espinoza - TWiML Talk #220

Building a Recommender System from Scratch at 20th Century Fox with JJ Espinoza - TWiML Talk #220

Today we’re joined by JJ Espinoza, former Director of Data Science at 20th Century Fox. In this talk we dig into JJ and his team’s experience building and deploying a content recommendation system fr...

14 Tammi 201934min

Legal and Policy Implications of Model Interpretability with Solon Barocas - TWiML Talk #219

Legal and Policy Implications of Model Interpretability with Solon Barocas - TWiML Talk #219

Today we’re joined by Solon Barocas, Assistant Professor of Information Science at Cornell University. Solon and I caught up to discuss his work on model interpretability and the legal and policy imp...

10 Tammi 201946min

Trends in Computer Vision with Siddha Ganju - TWiML Talk #218

Trends in Computer Vision with Siddha Ganju - TWiML Talk #218

In the final episode of our AI Rewind series, we’re excited to have Siddha Ganju back on the show. Siddha, who is now an autonomous vehicles solutions architect at Nvidia shares her thoughts on trend...

7 Tammi 201932min

Trends in Reinforcement Learning with Simon Osindero - TWiML Talk #217

Trends in Reinforcement Learning with Simon Osindero - TWiML Talk #217

In this episode of our AI Rewind series, we introduce a new friend of the show, Simon Osindero, Staff Research Scientist at DeepMind. We discuss trends in Deep Reinforcement Learning in 2018 and beyo...

3 Tammi 201952min

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