Podcasts by Talking Machines

Gods and Robots from 2021-09-09T17:15:40

In this episode of the podcast we shake things up! Neil is on the guest side of the table with his partner Rabbi Laura Janner-Klausner to discuss their upco...

Responsibility, Risk, and Publishing from 2021-08-19T22:37

On this episode we feature an interview with Madhulika Shrikumar of the Partnership on AI about their recent work Listen

ICML 2021: Test of Time(ly) Award from 2021-07-24T18:21

Neil and Katherine chat about ICML and the timely award winner of this years test of time award! Bayesian Learning via Stochastic Gradien...

Learning with Less, Invisible Labor and Combating Anti-Blackness from 2021-07-09T21:33:04

Devin Guillory of UC Berkeley, is our guest on this episode. We talk about his love of robotics, working at the center of a new hype Listen

Let's Reflect from 2020-06-13T17:57:05

We're not bringing you an episode this week. We're taking some time to think about the systems we take part in and how those perpetuate anti black racism and the effects of that on the...

Predicting Floods and Really Doing Good from 2020-05-29T20:24:35

In this episode of Talking Machines we talk with Sella Nevo of Google Research about the Listen

ICLR: accessible, inclusive, virtual from 2020-05-14T17:15

In episode eight of season six we talk with Alexander Rush and Shakir Mohamed about their work on Listen

Humans in the Loop and Outside of the Classroom from 2020-05-01T02:10

In episode seven of season six we talk with Michael Littman about his work in reinforcement learning, on scientific communication, and in the classroom. 

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The Evolution of ML and Furry Little Animals from 2020-04-16T19:39

In episode six of season six we chat with Professor Terry Sejnowski about his work, the evolution of the field, and the developme...

Talking Machines Live and Understanding Modeling Viruses from 2020-04-03T00:15

Episode five of season six is our first live episode! We talk with Elaine Nsoesie of Boston University about modeling disease an...

Prioritizing Problems and 100 episodes from 2020-03-20T04:00

Episode four of season six is our 100th episode! (Well it's Katherine's). We take a break from our regular format for Neil and Katherine to chat about the Listen

The Great AI Fallacy from 2020-03-05T21:47

In this episode we talk about the Great AI Fallacy, take a listener question about Federated Learning, and catch up with Ross Goodwin and Listen

If a Machine Could Predict Your Death, Should it? from 2020-02-20T22:45:22

in episode two of season six we hear Ziad Obermeyer's talk from TedX ...

Predicting the Decade and Distributing Conferences from 2020-02-06T20:13

In episode one of season six we make some predictions about what will happen in the field in the next decade and talk with Margot Gerrits...

Debating Project Debater and Hello NeurIPS from 2019-11-21T21:51

In our last episode for season five Katherine and Neil debate his debating project debater and talk about whats coming up at NeurIPS. Hope to see you there!

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De-Enchanting AI with the Law from 2019-11-07T23:32

in episode twenty two of season five we hear a talk from Kenneth Anderson on how the field of AI and the law can work togeth...

How to Ask an Actionable Question from 2019-10-25T01:26

In Episode 21 of Season five we sit down with Marzyeh Ghassemi to talk about her work and how she's refined her focus.

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Children are the Future and Ada Lovelace Day from 2019-10-10T20:09

In episode twenty of season five we talk with Neil about a discussion he had about the impact of ML tools on children talk...

News from Neil and Updates from DALI from 2019-09-26T12:53

In episode eighteen of season five we talk about DALI, get some big news about the next thing for Neil and talk with Listen

A Cooperative Path to Artificial Intelligence from 2019-09-13T02:15:28

In episode eighteen of season five we hear Michael Littman's talk Listen

What Does Red Sound Like from 2019-08-30T01:56

In episode seventeen of season five we talk about Why Red Doesn't Sound Like a Bell, take ...

Not What But Why from 2019-08-15T16:49

In this episode of Talking Machines we take a listen to Professor Engelhardt's TedX Boston talk, Not What But Why: Machine Le...

Idea Pandemics and Workshop Walkthrough from 2019-08-01T21:36

in episode 15 of season five of Talking Machines we' chat about the recently announced workshops at NeurIPS <...

PosterSession.ai and Deep Quaggles from 2019-07-18T20:52:06

In episode 14 of season five we talk about On the marginal likelihood and cross-validation, Katherine is STILL excited about Listen

The View from Addis Ababa from 2019-07-04T16:04

In episode thirteen of season five we bring you a the rest of our conversation with Michael Melese ...

DSA Addis Ababa and ICML Los Angeles from 2019-06-21T00:55:30

In episode twelve of season five we bring you a rundown of Data Science Africa's latest workshop answer a listener question about ...

Data Trusts and Citation Trends from 2019-06-06T23:52:04

In episode eleven of season five, we dig in to just what a data trust actually is, take a look at Listen

Reproducibly and Revisiting History from 2019-05-23T14:55

In episode ten of season five we talk about reproducibility, take a listener question on re understanding the history of the field g...

Insights from AISTATS from 2019-05-10T02:12:08

In episode nine of season five we talk about some interesting work from AISTATS, dive into Listen

The Deep End of Deep Learning from 2019-04-25T22:01:49

In this episode as we prep for ICLR we take a break from our usual format to bring you a talk from Listen

Exploring MARS and Getting back to Bayesics from 2019-04-11T12:34

In episode seven of season five of we chat about MARS and Re: MARS Listen

The Sweetness of a Bitter Lesson and Bringing ML and Healthcare Closer from 2019-03-28T21:38:19

In episode six of season five we talk about Richard Sutton's A Bitter Lesson. Chat about Listen

Slowed Down Conferences and Even More Summer Schools from 2019-03-14T22:11:26

In episode five of season five we talk about the Stu Hunter conference, Summer schools options Listen

Jupyter Notebooks and Modern Model Distribution from 2019-02-28T19:34:54

In episode four of season five we talk about Jupyter Notebooks and Neil's dream of a world craft software and devices, we take a listener quest...

Real World Real Time and Five Papers for Mike Tipping from 2019-02-15T01:11:22

In season five episode three we chat about take a listener question about Five Papers for Mike Tipping, take a listener question onListen

The Bezos Paradox and Machine Learning Languages from 2019-02-01T03:12:56

In episode two of season five we unpack the Bezos Paradox (TM Neil Lawrence) take a listener question about best papers and chat with Douga...

Being Global Bit by Bit from 2019-01-17T23:12:49

In episode one of season five we talk about Bit by Bit, take a listener question on machine learning gatherings on the African continent (Listen

The Possibility Of Explanation and The End of Season Four from 2018-11-29T15:03

For the end of season four we take a break from our regular format and bring you a talk from Professor Finale Doshi Velez of Harvard University on the Listen

Neural Information Processing Systems and Distributed Internal Intelligence Systems from 2018-11-16T00:17

In episode twenty one of season four we talk about distributed intelligence systems (mainly those internal to humans), talk about what were excited to see at t Listen

Data Driven Ideas and Actionable Privacy from 2018-11-01T13:05

In episode twenty of season four we talk about the importance of crediting your data, answer a listener question about internships vs salaried positions and talk with Listen

AI for Good and The Real World from 2018-10-18T22:05

In episode nineteen of season four we talk about causality in the real world, take a question about Listen

Systems Design and Tools for Transparency from 2018-10-05T00:37:53

In episode 18 of season four we talk about systems design, (remember the 3 d's!), tools for transparency and fairness and we talk with Adria Gascon of The Alan Turing Institute, the UK’s nationa...

How to Research in Hype and CIFAR's Strategy from 2018-09-20T11:27

In episode 17 of season four we talk about how to research in a time of hype (and other lessons from Tom Griffiths book) Neil's love ...

Troubling Trends and Climbing Mountains from 2018-09-07T04:40

In this episode we talk about an article Troubling Trends in Machine learning Scholarship the difference between engineering and sc...

Gaussian Processes, Grad School, and Richard Zemel from 2018-08-23T13:28

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Long Term Fairness from 2018-08-09T22:17:16

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Simulated Learning and Real World Ethics from 2018-07-27T01:35:19

In episode thirteen of season four we chat about simulations, reinforcement learning, and Listen

ICML 2018 with Jennifer Dy from 2018-07-12T13:33

Season four episode twelve finds us at ICML! We bring you a special episode with Jenn...

Aspirational Asimov and How to Survive a Conference from 2018-06-28T20:51

In season four episode eleven we talk about the possibility of the NIPS conference changing its name, wh...

Explanations and Reviews from 2018-06-14T17:18

In episode 10 of season 4 we chat about Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR...

Statements on Statements from 2018-05-31T21:32:53

In episode 9 of season 4 we talk about the Statement on Nature Machine Intelligence. We reached out to Nature for a ...

The Futility of Artificial Carpenters and Further Reading from 2018-05-17T20:07:02

In episode eight of season four we review some recently published articles by Listen

Economies, Work and AI from 2018-05-03T19:35:30

In episode seven of season four we chat about Ellis and the Listen

Explainability and the Inexplicable from 2018-04-19T19:49:58

In episode six of season four we chat about AI and religion, we take a listener question about personal bias checking and we hear from Listen

Good Data Practice Rules from 2018-04-05T20:00

In episode five of season four we talk about the GDPR or as we like to think of it Goo...

Can an AI Practitioner Fix a Radio? from 2018-03-22T17:56:39

In episode four of season four we talk more about natural an artificial intelligences and thinking about diversity in systems. Reading Listen

Natural vs Artificial Intelligence and Doing Unexpected Work from 2018-03-08T22:07:06

In season four episode three of Talking Machines we chat about Neil’s recent thinking (definitely not work) on the core differences between natural intelligence and machine intelligence, Listen

Scientific Rigor and Turning Information into Action from 2018-02-22T21:44:44

In episode two of season four we're proud to bring you the second annual "Hosts of Talking Machine's Episode"! Ryan and Neil chat about Listen

Code Review for Community Change from 2018-02-08T12:09

On this episode of Talking Machines we take a break from our regular format to talk about the “code review of community culture” that the AI, ML, Stats and Computer Science fields in general nee...

The Pace of Change and The Public View of ML from 2017-10-05T05:02

In episode ten of season three we talk about the rate of change (prompted by Tim Harford), take a listener question about ...

The Long View and Learning in Person from 2017-09-21T16:52

In episode nine of season three we chat about the difference between models and algorithms, take a listener question about summer schools and learning in person as opposed to learning digitally,...

Machine Learning in the Field and Bayesian Baked Goods from 2017-09-08T01:40:14

In episode eight of season three we return to the epic (or maybe not so epic) clash between frequentists and bayesians, take a listener question about the ethical questions generators of machine...

Data Science Africa with Dina Machuve from 2017-08-10T23:33

In episode seven of season three we take a minute to break way from our regular format and feature a conversation with Dina Machuve of the Nelson Mandela African Institute of Science and Technol...

The Church of Bayes and Collecting Data from 2017-07-28T00:05

In episode six of season three we chat about the difference between frequentists and Bayesians, take a listener question about techniques for panel data, and have an interview with Listen

Getting a Start in ML and Applied AI at Facebook from 2017-07-13T23:14

In episode five of season three we compare and contrast AI and data science, take a listener question about getting started in machine learning, and listen to an interview with Listen

Bias Variance Dilemma for Humans and the Arm Farm from 2017-06-29T16:51

In episode four of season three Neil introduces us to the ideas behind the bias variance dilemma (and how how we can think about it in our daily lives). Plus, we answer a listener question about...

Overfitting and Asking Ecological Questions with ML from 2017-06-15T19:28:14

In this episode three of season three of Talking Machines we dive into overfitting, take a listener question about unbalanced data and talk with Professor (Emeritus) Tom Dietterich from Oregon Stat...

Graphons and "Inferencing" from 2017-05-25T15:00:27

In episode two of season three Neil takes us through the basics on dropout, we chat about the definition of inference (It's more about context than you think!) and hear an interview with Jennifer C...

Hosts of Talking Machines: Neil Lawrence and Ryan Adams from 2017-04-27T13:27

Talking Machines is entering its third season and going through some changes. Our founding host Ryan is moving on and in his place Neil Lawrence of Amazon is taking over as co host. We say thank yo...

ANGLICAN and Probabilistic Programming from 2016-09-01T15:45

In episode seventeen of season two we get an introduction to Min Hashing, talk with Frank Wood the creator of ANGLICAN, about probabilistic programming and his new company, INVREA, and take a liste...

Eric Lander and Restricted Boltzmann Machines from 2016-08-18T17:37

In episode sixteen of season two, we get an introduction to Restricted Boltzmann Machines, we take a listener question about tuning hyperparameters,  plus we talk with Eric Lander of the Broad Inst...

Generative Art and Hamiltonian Monte Carlo from 2016-08-04T14:36

In episode fifteen of season two, we talk about Hamiltonian Monte Carlo, we take a listener question about unbalanced data, plus we talk with Doug Eck of Google’s Magenta project.

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Perturb-and-MAP and Machine Learning in the Flint Water Crisis from 2016-07-21T10:07

In episode fourteen of season two, we talk about Perturb-and-MAP, we take a listener question about classic artificial intelligence ideas being used in modern machine learning, plus we talk with Ja...

Automatic Translation and t-SNE from 2016-07-07T16:07

In episode thirteen of season two, we talk about t-Distributed Stochastic Neighbor Embedding (t-SNE) we take a listener question about statistical physics, plus we talk with Hal Daume of the Univer...

Fantasizing Cats and Data Numbers from 2016-06-16T16:50

In episode twelve of season two, we talk about generative adversarial networks, we take a listener question about using machine learning to improve or create products, plus we talk with Iain Murray...

Spark and ICML from 2016-06-02T17:19

In episode eleven of season two, we talk about the machine learning toolkit  Spark, we take a listener question about the differences between NIPS and ICML conferences, plus we talk with Sinead Wil...

Computational Learning Theory and Machine Learning for Understanding Cells from 2016-05-19T14:10

In episode ten of season two, we talk about Computational Learning Theory and Probably Approximately Correct Learning originated by Professor Leslie Valiant of SEAS at Harvard, we take a listener q...

Sparse Coding and MADBITS from 2016-05-05T17:08:22

In episode nine of season two, we talk about sparse coding, take a listener question about the next big demonstration for AI after AlphaGo. Plus we talk with Clement Farabet about MADBITS and the w...

Remembering David MacKay from 2016-04-21T12:12

Recently Professor David MacKay passed away. We’ll spend this episode talking about his extensive body of work and its impacts. We’ll also talk with Philipp Hennig, a research group leader at the M...

Machine Learning and Society from 2016-04-08T03:13

Episode seven of season two is a little different than our usual episodes, Ryan and Katherine just returned from a conference where they got to talk with Neil Lawrence of the University of Sheffiel...

Software and Statistics for Machine Learning from 2016-03-24T12:15

In episode six of season two, we talk about how to build software for machine learning (and what the roadblocks are), we take a listener question about how to start exploring a new dataset, plus, w...

Machine Learning in Healthcare and The AlphaGo Matches from 2016-03-10T16:30:33

In episode five of Season two Ryan walks us through variational inference, we put some listener questions about Go and how to play it to Andy Okun, president of the American Go Association (who is ...

AI Safety and The Legacy of Bletchley Park from 2016-02-25T15:24

In episode four of season two, we talk about some of the major issues in AI safety, (and how they’re not really that different from the questions we ask whenever we create a new tool.) One place yo...

Robotics and Machine Learning Music Videos from 2016-02-11T16:00

In episode three of season two Ryan walks us through the Alpha Go results and takes a lister question about using Gaussian processes for classifications. Plus we talk with Michael Littman of Brown ...

OpenAI and Gaussian Processes from 2016-01-28T18:20:06

In episode two of season two Ryan introduces us to Gaussian processes, we take a listener question on K-means. Plus, we talk with Ilya Sutskever the director of research for OpenAI. (For more from ...

Real Human Actions and Women in Machine Learning from 2016-01-14T11:35

In episode one of season two, we celebrate the 10th anniversary of Women in Machine Learning (WiML) with its co-founder (and our guest host for this episode) Hanna Wallach of Microsoft Research. Ha...

Open Source Releases and The End of Season One from 2015-11-22T20:37:47

In episode twenty four we talk with Ben Vigoda about his work in probabilistic programming (everything from his thesis, to his new company) Ryan talks about Tensor Flow and Autograd for Torch, some...

Probabilistic Programming and Digital Humanities from 2015-11-05T21:45:18

In episode 23 we talk with David Mimno of Cornell University about his work in the digital humanities (and explore what machine learning can tell us about lady zombie ghosts and huge bodies of lite...

Workshops at NIPS and Crowdsourcing in Machine Learning from 2015-10-22T12:53

In episode twenty two we talk with Adam Kalai of Microsoft Research New England about his work using crowdsourcing in Machine Learning, the language made of shapes of words, and New England Machine...

Machine Learning Mastery and Cancer Clusters from 2015-10-08T13:30

In episode twenty one  we talk with Quaid Morris of the University of Toronto, who is using machine learning to find a better way to treat cancers. Ryan introduces us to expectation maximization an...

Data from Video Games and The Master Algorithm from 2015-09-24T21:55:35

In episode 20 we chat with Pedro Domingos of the University of Washington, he's just published a book The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. We...

Strong AI and Autoencoders from 2015-09-10T17:00

In episode nineteen we chat with Hugo Larochelle about his work on unsupervised learning, the International Conference on Learning Representations (ICLR), and his teaching style. His Youtube course...

Active Learning and Machine Learning in Neuroscience from 2015-08-27T15:12:45

In episode eighteen we talk with Sham Kakade, of Microsoft Research New England, about his expansive work which touches on everything from neuroscience to theoretical machine learning. Ryan introdu...

Machine Learning in Biology and Getting into Grad School from 2015-08-13T17:07:47

In episode seventeen we talk with Jennifer Listgarten of  Microsoft Research New England about her work using machine learning to answer questions in biology. Recently, With her collaborator Nicolo...

Machine Learning for Sports and Real Time Predictions from 2015-07-30T15:06:54

In episode sixteen we chat with Danny Tarlow of Microsoft Research Cambridge (in the UK not MA). Danny (along with Chris Maddison and Tom Minka) won best paper at NIPS 2014 for his paper A* Samplin...

Really Really Big Data and Machine Learning in Business from 2015-07-16T16:57:42

In episode fifteen we talk with Max Welling, of the University of Amsterdam and University of California Irvine. We talk with him about his work with extremely large data and big business and machi...

Solving Intelligence and Machine Learning Fundamentals from 2015-07-02T21:31:12

In episode fourteen we talk with Nando de Freitas. He’s a professor of Computer Science at the University of Oxford and a senior staff research scientist Google DeepMind. Right now he’s focusing on...

Working With Data and Machine Learning in Advertising from 2015-06-18T16:35:42

In episode thirteen we talk with Claudia Perlich, Chief Scientist at Dstillery. We talk about her work using machine learning in digital advertising and her approach to data in competitions. We tak...

The Economic Impact of Machine Learning and Using The Kernel Trick on Big Data from 2015-06-04T13:57:10

In episode twelve we talk with Andrew Ng, Chief Scientist at Baidu, about how speech recognition is going to explode the way we use mobile devices and his approach to working on the problem. We als...

How We Think About Privacy and Finding Features in Black Boxes from 2015-05-21T19:46:15

In episode eleven we chat with Neil Lawrence from the University of Sheffield. We talk about the problems of privacy in the age of machine learning, the responsibilities that come with using ML too...

Interdisciplinary Data and Helping Humans Be Creative from 2015-05-07T16:32:54

In Episode 10 we talk with David Blei of Columbia University. We talk about his work on latent dirichlet allocation, topic models, the PhD program in data that he’s helping to create at Columbia an...

Starting Simple and Machine Learning in Meds from 2015-04-23T14:31:58

In episode nine we talk with George Dahl, of  the University of Toronto, about his work on the Merck molecular activity challenge on kaggle and speech recognition. George recently successfully defe...

Spinning Programming Plates and Creative Algorithms from 2015-04-09T11:18:47

On episode eight we talk with Charles Sutton, a professor in the School of Informatics University of Edinburgh about computer programming and using machine learning how to better understand how it’...

The Automatic Statistician and Electrified Meat from 2015-03-26T14:15:03

In episode seven of Talking Machines we talk with Zoubin Ghahramani, professor of Information Engineering in the Department of Engineering at the University of Cambridge. His project, The Automatic...

The Future of Machine Learning from the Inside Out from 2015-03-13T22:16:51

We hear the second part of our conversation with with Geoffrey Hinton (Google and University of Toronto), Yoshua Bengio (University of Montreal) and Yann LeCun (Facebook and NYU). They talk with us...

The History of Machine Learning from the Inside Out from 2015-02-26T16:24:21

In episode five of Talking Machines, we hear the first part of our conversation with Geoffrey Hinton (Google and University of Toronto), Yoshua Bengio (University of Montreal) and Yann LeCun (Faceb...

Using Models in the Wild and Women in Machine Learning from 2015-02-12T15:40:05

In episode four we talk with Hanna Wallach, of Microsoft Research. She's also a professor in the Department of Computer Science, University of Massachusetts Amherst and one of the founders of Women...

Common Sense Problems and Learning about Machine Learning from 2015-01-29T14:26:11

On episode three of Talking Machines we sit down with Kevin Murphy who is currently a research scientist at Google. We talk with him about the work he’s doing there on the Knowledge Vault, his text...

Machine Learning and Magical Thinking from 2015-01-15T13:52:38

Today on Talking Machines we hear from Google researcher Ilya Sutskever about his work, how he became interested in machine learning, and why it takes a little bit of magical thinking. We take your...

Hello World! from 2015-01-01T18:09:14

In the first episode of Talking Machines we meet our hosts, Katherine Gorman (nerd, journalist) and Ryan Adams (nerd, Harvard computer science professor), and explore some of the interviews you'll ...