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

    Robotic Perception and Control with Chelsea Finn
    800 800 This Week in Machine Learning & AI Podcast

    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
    800 800 This Week in Machine Learning & AI Podcast

    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
    800 800 This Week in Machine Learning & AI Podcast

    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
    800 800 This Week in Machine Learning & AI Podcast

    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
    800 800 This Week in Machine Learning & AI Podcast

    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
    800 800 This Week in Machine Learning & AI Podcast

    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
    800 800 This Week in Machine Learning & AI Podcast

    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.

    Deep Neural Nets for Visual Recognition with Matt Zeiler
    800 800 This Week in Machine Learning & AI Podcast

    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.

    Engineering the Future of AI with Ruchir Puri
    800 800 This Week in Machine Learning & AI Podcast

    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.

    Selling AI to the Enterprise with Kathryn Hume
    800 800 This Week in Machine Learning & AI Podcast

    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.

    Photo of Scott Stephenson of Deepgram for This Week in Machine Learning & AI Interview
    From Particle Physics to Audio AI with Scott Stephenson
    800 800 This Week in Machine Learning & AI Podcast

    This week my guest is Scott Stephenson, co-founder & CEO of Deepgram. Scott and I cover a ton of interesting topics including applying machine learning to particle physics, using deep learning and neural networks to search audio, and Kur, the deep learning framework that his company developed and open-sourced.

    Introducing the AI NexusLab Startups
    800 800 This Week in Machine Learning & AI Podcast

    This week we spoke with founders from the 5 companies in the inaugural batch of the AI NexusLab program: HelloVera, Klustera, Behold.ai, Cambrian Intelligence, and AlphaVertex.

    Alekh Agarwal Interview - Interactive Machine Learning Systems
    Interactive Machine Learning Systems with Alekh Agarwal
    800 800 This Week in Machine Learning & AI Podcast

    This week my guest is Alekh Agarwal. Alekh is a researcher with Microsoft Research whose research is focused on Interactive Machine Learning.

    Machine Learning for Cybersecurity with Evan Wright
    800 800 This Week in Machine Learning & AI Podcast

    This week my guest is Evan Wright, principal data scientist at cybersecurity startup Anomali. In my interview with Evan, he and I discussed about a number of topics surrounding the use of machine learning in cybersecurity.

    Stefano Ermon Interview on This Week of Machine Learning & AI
    Domain Knowledge in Machine Learning Models for Sustainability with Stefano Ermon
    800 800 This Week in Machine Learning & AI Podcast

    My guest this week is Stefano Ermon, Assistant Professor of Computer Science at Stanford University. Stefano and I discuss domain knowledge in machine learning models, dimensionality reduction, semi-supervised learning, proxy & transfer learning, and applying ML & AI to sustainability issues such as poverty, food security and the environment.

    Scaling Deep Learning: Systems Challenges & More with Shubho Sengupta
    800 800 This Week in Machine Learning & AI Podcast

    This week my guest is Shubho Sengupta, Research Scientist at Baidu. Shubho and I discuss how to scale deep learning, and we dig into various systems challenges including architecture, productionalization and operationalization.

    Understanding Deep Neural Networks with Dr. James McCaffrey
    800 800 This Week in Machine Learning & AI Podcast

    My guest this week is Dr. James McCaffrey, research engineer with Microsoft Research. In this show James and I discuss the ins and outs of deep neural networks.

    Reprogramming the Human Genome with AI featuring Brendan Frey
    800 800 This Week in Machine Learning & AI Podcast

    My guest this week is Brendan Frey, Professor of Engineering and Medicine at the University of Toronto and Co-Founder and CEO of the startup Deep Genomics.

    TWiML Talk #11 – Hilary Mason – Building AI Products
    800 800 This Week in Machine Learning & AI Podcast

    My guest is Hilary Mason, founder of Fast Forward Labs and a leader in the data science community. We discuss practical advice for building AI products.

    TWiML Talk #10 – Francisco Webber – Statistics vs Semantics for Natural Language Processing
    800 800 This Week in Machine Learning & AI Podcast

    My guest this time is Francisco Webber, founder and General Manager of artificial intelligence startup Cortical.io. We discuss an approach to natural language understanding based on semantic representations of speech.