This Week in Machine Learning & AI Podcast This Week in Machine Learning & AI Podcast This Week in Machine Learning & AI Podcast This Week in Machine Learning & AI Podcast This Week in Machine Learning & AI Podcast

    Shows

    Josh Bloom – Marrying Physics-Based and Data Driven ML Models
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    This show features my interview with Drew Conway, Founder and CEO of Alluvium. The focus of our interview, and of Drew’s presentation, is an interesting set of observations he makes about the role of cognitive biases in data science.

    Drew Conway – Cognitive Biases in Data Science
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    This show features my interview with Drew Conway, Founder and CEO of Alluvium. The focus of our interview, and of Drew’s presentation, is an interesting set of observations he makes about the role of cognitive biases in data science.

    Erin Shellman – Data Pipelines at Zymergen with Airflow
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    This show, TWiML Talk 41, features my interview with Erin Shellman, a statistician and data science manager with Zymergen, a company using robots and machine learning to engineer better microbes.

    Sharath Rao – Web Scale Engineering for Machine Learning
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    The show you’re about to listen to features my interview with Sharath Rao, Tech Lead Manager & Machine Learning Engineer at Instacart. My conversation with him digs into some of the practical lessons and patterns he’s learned by building production-ready, web-scale data products based on machine learning models.

    Calvin Seward – Deep Learning for Warehouse Operations
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    This week we continue our Industrial AI series with Calvin Seward, Research Scientist with Zalando in Berlin, Germany. We focus on how Calvin’s team tackled an interesting warehouse optimization problem using deep learning. Calvin also gives his thoughts on the distinction between AI and ML, and the four P’s that he focuses on: Prestige, Products, Paper, and Patents.

    Sergey Levine – Deep Robotic Learning
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    This week we continue our Industrial AI series with Sergey Levine, an Assistant Professor at UC Berkeley whose research focus is Deep Robotic Learning. Sergey is part of the same research team as a couple of our previous guests in this series, Chelsea Finn and Pieter Abbeel, and if the response we’ve seen to those shows is any indication, you’re going to love this episode!

    Yodit Stanton – Smart Buildings & IoT
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    Our guest this week is Yodit Stanton, a self-described Data Nerd, and the Founder & CEO of Opensensors.io. Our discussion focuses on Smart Buildings and how they’re enabled by IoT and machine learning techniques.

    Naveen Rao & Hanlin Tang – Intel Nervana Update + Productizing AI Research
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    I was super excited to have an opportunity to sit down with Nervana co-founder Naveen Rao, who now leads Intel’s newly formed AI Products Group, and Hanlin Tang, an algorithms engineer at Intel’s AIPG, about two tools announced at the conference: version 2.0 of Intel Nervana’s deep learning framework Neon and the Nervana Graph.

    Doug Eck – Expressive AI-Generated Music with Google’s Performance RNN
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    My guest for this second show in our O’Reilly AI series is Doug Eck of Google Brain. Doug did a keynote at the O’Reilly conference on Magenta, Google’s project for melding machine learning and the arts. Magenta’s goal is to produce open-source tools and models that help people in their personal creative processes. We talk about the newly announced Performance RNN project, which uses neural networks to create expressive, AI-generated music.

    Ben Vigoda – The Power of Probabilistic Programming
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    My guest for this third episode in the O’Reilly AI series is Ben Vigoda. Ben is the founder and CEO of Gamalon, a DARPA-funded startup working on Bayesian Program Synthesis. We dive into what exactly this means and how it enables what Ben calls idea learning in the show.

    Rana el Kaliouby – Enhancing Customer Experiences with Emotional AI
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    My guest for this show is Rana el Kaliouby. Rana is co-founder and CEO of Affectiva. Affectiva, as Rana puts it, “is on a mission to humanize technology by bringing in artificial emotional intelligence”. My conversation with Rana focuses on how her company is bringing Artificial Emotional Intelligence services to market.

    Reza Zadeh – Video Object Detection at Scale
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    My guest for the fourth show in the O’Reilly AI Series is Reza Zadeh. Reza is an adjunct professor of computational mathematics at Stanford University and founder and CEO of the startup Matroid. Our conversation focused on some of the challenges and approaches to scaling deep learning, both in general and in the context of his company’s video object detection service.

    Natural Language Understanding for Amazon Alexa with Zornitsa Kozareva
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    Our guest this week is Zornitsa Kozareva, Manager of Machine Learning with Amazon Web Services Deep Learning, where she is leading a group focused on natural language processing and dialogue systems for products like Amazon Alexa and Amazon Lex, the latter of which we discuss in the podcast. We also spend time talking through the architecture of modern Natural Language Understanding systems, including the role of deep learning, and some of the various ways folks are working to overcome the challenges in this field, such as understanding human intent.

    Robotic Perception and Control with Chelsea Finn
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    Our third guest in the Industrial AI series is Chelsea Finn,  PhD student at UC Berkeley. Despite being early in her career, Chelsea is an accomplished researcher with more than 14 published papers in the past 2 years, on subjects like Deep Visual Foresight , Model-Agnostic Meta-Learning and Visuomotor Learning to name a few. We discuss all of these topics in the show, as well as subjects like zero-shot, one-shot and few-shot learning.

    Reinforcement Learning Deep Dive with Pieter Abbeel
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    Our second guest in the Industrial AI series is Pieter Abbeel, Assistant Professor at UC Berkeley, Research Scientist at OpenAI, and Cofounder of Gradescope. During this conversation, Pieter and I really dig into reinforcement learning, which is a technique for allowing robots (or AIs) to learn through their own trial and error.

    Intelligent Autonomous Robots with Ilia Baranov
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    Our first guest in the Industrial AI series is Ilia Baranov, engineering manager at Clearpath Robotics. Ilia’s responsible for setting the engineering direction for all of Clearpath’s research platforms. In our conversation we cover a lot of ground, including what it really means to field autonomous robots, the use of autonomous robots in research and industrial environments, the different approaches and challenges to achieving autonomy, and much more!

    Global AI Trends with Ben Lorica
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    This week I’ve invited my friend Ben Lorica onto the show. Ben is Chief Data Scientist for O’Reilly Media, and Program Director of Strata Data & the O’Reilly A.I. conference. Ben has worked on analytics and machine learning in the finance and retail industries, and serves as an advisor for nearly a dozen startups. In his role at O’Reilly he’s responsible for the content for 7 major conferences around the world each year.

    Offensive vs Defensive Data Science with Deep Varma
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    This week on the show my guest is Deep Varma, Vice President of Data Engineering at real estate startup Trulia. In the show we discuss Trulia’s data engineering pipeline and their personalization platform, as well how they use computer vision, deep learning and natural language generation to deliver their product.

    Reinforcement Learning: The Next Frontier of Gaming with Danny Lange
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    My guest on the show this week is Danny Lange, VP for Machine Learning & AI at video game technology developer Unity Technologies. Danny is well traveled in the world of ML and AI, and has had a hand in developing machine learning platforms at companies like Uber, Amazon and Microsoft.

    Integrating Psycholinguistics into AI with Dominique Simmons
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    Our guest this week is Dominique Simmons, applied research Scientist at AI tools vendor Dimensional Mechanics. Dominique brings an interesting background in cognitive psychology and psycholinguistics to her work and research in AI and, well, to this podcast. We cover the implications of cognitive psychology for neural networks and AI systems, and more.