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This Week in Machine Learning & Artificial Intelligence (AI) Podcast

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This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the worlds of machine learning and artificial intelligence. We discuss the latest developments in research, technology, and business, and explore interesting projects from across the web. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, big data and more.

This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the worlds of machine learning and artificial intelligence. We discuss the latest developments in research, technology, and business, and explore interesting projects from across the web. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, big data and more.
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United States

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This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the worlds of machine learning and artificial intelligence. We discuss the latest developments in research, technology, and business, and explore interesting projects from across the web. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, big data and more.

Language:

English


Episodes

AI Ethics, Strategic Decisioning and Game Theory with Osonde Osoba - TWiML Talk #192

10/18/2018
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In this episode of our Deep Learning Indaba Series, we’re joined by Osonde Osoba, Engineer at RAND Corporation and Professor at the Pardee RAND Graduate School. Osonde and I spoke on the heels of the Indaba, where he presented on AI Ethics and Policy. We discuss his framework-based approach for evaluating ethical issues, such as applying the ethical principles laid out in the Belmont Report, and how to build an intuition for where ethical flashpoints may exist in these discussions. We then...

Duration:00:47:25

Acoustic Word Embeddings for Low Resource Speech Processing with Herman Kamper - TWiML Talk #191

10/16/2018
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In this episode of our Deep Learning Indaba Series, we’re joined by Herman Kamper, Lecturer in the electrical and electronics engineering department at Stellenbosch University in SA and a co-organizer of the Indaba. Herman and I discuss his work on limited- and zero-resource speech recognition, how those differ from regular speech recognition, and the tension between linguistic and statistical methods in this space. We dive into the specifics of the methods being used and developed in...

Duration:01:01:59

Learning Representations for Visual Search with Naila Murray - TWiML Talk #190

10/12/2018
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In this episode of our Deep Learning Indaba series, we’re joined by Naila Murray, Senior Research Scientist and Group Lead in the computer vision group at Naver Labs Europe. Naila presented at the Indaba on computer vision, and in this discussion we explore her work on visual attention, including why visual attention is important and the trajectory of work in the field over time. We also discuss her paper “Generalized Max Pooling,” and her recent research interest in learning...

Duration:00:41:53

Evaluating Model Explainability Methods with Sara Hooker - TWiML Talk #189

10/10/2018
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In this, the first episode of the Deep Learning Indaba series, we’re joined by Sara Hooker, AI Resident at Google Brain. I had the pleasure of speaking with Sara in the run-up to the Indaba about her work on interpretability in deep neural networks. We discuss what interpretability means and when it’s important, and explore some nuances like the distinction between interpreting model decisions vs model function. We also dig into her paper Evaluating Feature Importance Estimates and look at...

Duration:01:05:01

Graph Analytic Systems with Zachary Hanif - TWiML Talk #188

10/8/2018
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In this, the final episode of our Strata Data Conference series, we’re joined by Zachary Hanif, Director of Machine Learning at Capital One’s Center for Machine Learning. Zach led a session at Strata called “Network effects: Working with modern graph analytic systems,” which we had a great chat about back in New York. We start our discussion with a look at the role of graph analytics in the machine learning toolkit, including some important application areas for graph-based systems. We...

Duration:00:55:28

Diversification in Recommender Systems with Ahsan Ashraf - TWiML Talk #187

10/4/2018
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In this episode of our Strata Data conference series, we’re joined by Ahsan Ashraf, data scientist at Pinterest. In our conversation, Ahsan and I discuss his presentation from the conference, “Diversification in recommender systems: Using topical variety to increase user satisfaction.” We cover the experiments his team ran to explore the impact of diversification in user’s boards, the methodology his team used to incorporate variety into the Pinterest recommendation system, the metrics they...

Duration:00:45:42

The Fastai v1 Deep Learning Framework with Jeremy Howard - TWiML Talk #186

10/2/2018
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In today's episode we’ll be taking a break from our Strata Data conference series and presenting a special conversation with Jeremy Howard, founder and researcher at Fast.ai. Fast.ai is a company many of our listeners are quite familiar with due to their popular deep learning course. This episode is being released today in conjunction with the company’s announcement of version 1.0 of their fastai library at the inaugural Pytorch Devcon in San Francisco. Jeremy and I cover a ton of ground...

Duration:01:11:18

Federated ML for Edge Applications with Justin Norman - TWiML Talk #185

9/27/2018
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In this episode of our Strata Data conference series, we’re joined by Justin Norman, Director of Research and Data Science Services at Cloudera Fast Forward Labs. Fast Forward Labs was an Applied AI research firm and consultancy founded by Hilary Mason, who’s TWiML Talk episode remains an all-time fan favorite. My chat with Justin took place on the 1 year anniversary of Fast Forward Labs’ acquisition by Cloudera, so we start with an update on the company before diving into a look at some of...

Duration:00:48:24

Exploring Dark Energy & Star Formation w/ ML with Viviana Acquaviva - TWiML Talk #184

9/26/2018
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In today’s episode of our Strata Data series, we’re joined by Viviana Acquaviva, Associate Professor at City Tech, the New York City College of Technology. Viviana led a tutorial at the conference, titled “Learning Machine Learning using Astronomy data sets.” In our conversation, we begin by discussing an ongoing project she’s a part of called the “Hobby-Eberly Telescope Dark Energy eXperiment,” or HETDEX. In this project, Viviana tackles the challenge of understanding of how and why the...

Duration:00:41:20

Document Vectors in the Wild with James Dreiss - TWiML Talk #183

9/24/2018
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In this episode of our Strata Data series we’re joined by James Dreiss, Senior Data Scientist at international news syndicate Reuters. James and I sat down to discuss his talk from the conference “Document vectors in the wild, building a content recommendation system,” in which he details how Reuters implemented document vectors to recommend content to users of their new “infinite scroll” page layout. In our conversation we take a look at what document vectors are and how they’re created,...

Duration:00:42:06

Applied Machine Learning for Publishers with Naveed Ahmad - TWiML Talk #182

9/20/2018
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In today’s episode we’re joined by Naveed Ahmad, Senior Director of data engineering and machine learning at Hearst Newspapers. A few months ago, Naveed gave a talk at the Google Cloud Next Conference on “How Publishers Can Take Advantage of Machine Learning.” In our conversation, we discuss into the role of ML at Hearst, including their motivations for implementing it and some of their early projects, the challenges of data acquisition within a large organization, and the benefits they...

Duration:00:39:33

Anticipating Superintelligence with Nick Bostrom - TWiML Talk #181

9/17/2018
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In this episode, we’re joined by Nick Bostrom, professor in the faculty of philosophy at the University of Oxford, where he also heads the Future of Humanity Institute, a multidisciplinary institute focused on answering big-picture questions for humanity with regards to AI safety and ethics. Nick is of course also author of the book “Superintelligence: Paths, Dangers, Strategies.” In our conversation, we discuss the risks associated with Artificial General Intelligence and the more advanced...

Duration:00:45:27

Can We Train an AI to Understand Body Language? with Hanbyul Joo - TWIML Talk #180

9/13/2018
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In this episode, we’re joined by Hanbyul Joo, a PhD student in the Robotics Institute at Carnegie Mellon University. Han, who is on track to complete his thesis at the end of the year, is working on what is called the “Panoptic Studio,” a multi-dimension motion capture studio with over 500 camera sensors that are used to capture human body behavior and body language. While robotic and other artificially intelligent systems can interact with humans, Han’s work focuses on understanding how...

Duration:00:51:52

Biological Particle Identification and Tracking with Jay Newby - TWiML Talk #179

9/10/2018
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In today’s episode we’re joined by Jay Newby, Assistant Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. Jay joins us to discuss his work applying deep learning to biology, including his paper “Deep neural networks automate detection for tracking of submicron scale particles in 2D and 3D.” In our conversation, Jay gives us an overview of particle tracking and a look at how he combines neural networks with physics-based particle filter...

Duration:00:45:56

AI for Content Creation with Debajyoti Ray - TWiML Talk #178

9/6/2018
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In today’s episode we’re joined by Debajyoti Ray, Founder and CEO of RivetAI, a startup producing AI-powered tools for storytellers and filmmakers. Rivet’s tools are inspired in part by the founders’ collaboration with the team that created Sunspring, a short, AI-written film starring Silicon Valley’s Thomas Middleditch, which you may have seen when it was making the rounds a while back. Deb and I discuss some of what he’s learned in the journey to apply AI to content creation, including...

Duration:00:55:56

Deep Reinforcement Learning Primer and Research Frontiers with Kamyar Azizzadenesheli - TWiML Talk #177

8/30/2018
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Today we’re joined by Kamyar Azizzadenesheli, PhD student at the University of California, Irvine, and visiting researcher at Caltech where he works with Anima Anandkumar, who you might remember from TWiML Talk 142. We begin with a reinforcement learning primer of sorts, in which we review the core elements of RL, along with quite a few examples to help get you up to speed. We then discuss a pair of Kamyar’s RL-related papers: “Efficient Exploration through Bayesian Deep Q-Networks” and...

Duration:01:35:23

OpenAI Five with Christy Dennison - TWiML Talk #176

8/27/2018
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Today we’re joined by Christy Dennison, Machine Learning Engineer at OpenAI. Since joining OpenAI earlier this year, Christy has been working on OpenAI’s efforts to build an AI-powered agent to play the DOTA 2 video game. Our conversation begins with an overview of DOTA 2 gameplay and the recent OpenAI Five benchmark which put the OpenAI agent up against a team of professional human players. We then dig into the underlying technology used to create OpenAI Five, including their use of deep...

Duration:00:48:20

How ML Keeps Shelves Stocked at Home Depot with Pat Woowong - TWiML Talk #175

8/23/2018
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Today we’re joined by Pat Woowong, principal engineer in the applied machine intelligence group at The Home Depot. We discuss a project that Pat recently presented at the Google Cloud Next conference which used machine learning to predict shelf-out scenarios within stores. We dig into the motivation for this system and how the team went about building it, including what type of models ended up working best, how they collected their data, their use of kubernetes to support future growth in...

Duration:00:44:59

Contextual Modeling for Language and Vision with Nasrin Mostafazadeh - TWiML Talk #174

8/20/2018
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Today we’re joined by Nasrin Mostafazadeh, Senior AI Research Scientist at New York-based Elemental Cognition. Our conversation focuses on Nasrin’s work in event-centric contextual modeling in language and vision, which she sees as a means of giving AI systems a bit of “common sense.” We discuss Nasrin’s work on the Story Cloze Test, which is a reasoning framework for evaluating story understanding and generation. We explore the details of this task--including what constitutes a...

Duration:00:49:11

ML for Understanding Satellite Imagery at Scale with Kyle Story - TWiML Talk #173

8/16/2018
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Today we’re joined by Kyle Story, computer vision engineer at Descartes Labs. Kyle and I caught up after his recent talk at the Google Cloud Next Conference titled “How Computers See the Earth: A Machine Learning Approach to Understanding Satellite Imagery at Scale.” We discuss some of the interesting computer vision problems he’s worked on at Descartes, including custom object detectors and the company’s geovisual search engine, covering everything from the models they’ve developed and...

Duration:00:56:04