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    Human Factors in Machine Intelligence with James Guszcza

    As you all know, a few weeks ago, I spent some time in SF at the Artificial Intelligence Conference. While there, I sat down with James Guszcza, US Chief Data Scientist at Deloitte Consulting to talk about human factors in machine intelligence. James was in San Francisco to give a talk at the O’Reilly AI Conference on “Why AI needs human-centered design.”

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    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.

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    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.

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    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.

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    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.

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    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!

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    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.

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    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.

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    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.

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    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.

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    Deep Neural Nets for Visual Recognition with Matt Zeiler
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    My guest this week is Matt Zeiler, founder & CEO of Clarifai, a startup whose cloud-based visual recognition system gives developers a way to integrate visual identification into their own products.

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    Engineering the Future of AI with Ruchir Puri
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    This week my guest is Ruchir Puri; Chief architect of IBM Watson, and IBM Fellow. Our conversation focused on cognition and reasoning, and we explored what these concepts represent, how enterprises really want to consume them, and how IBM Watson seeks to deliver them.

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    Selling AI to the Enterprise with Kathryn Hume
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    This week my guest is Kathryn Hume, President of Fast Forward Labs. She shared several really interesting examples of the kinds of things she’s seeing enterprises do with machine learning and AI, and we discussed a few of the various challenges enterprises face and some of the lessons her company has learned in helping them.

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