Talking Machines
Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Neil Lawrence, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions. Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what to do with the answers. Hosted on Acast. See acast.com/privacy for more information.
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Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Neil Lawrence, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions. Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what to do with the answers. Hosted on Acast. See acast.com/privacy for more information.
Hello World!
01/01/2015
In the first episode of Talking Machines we meet our hosts, Katherine Gorman (nerd, journalist) and ...
Machine Learning and Magical Thinking
01/15/2015
Today on Talking Machines we hear from Google researcher Ilya Sutskever about his work, how he beca ...
Common Sense Problems and Learning about Machine Learning
01/29/2015
On episode three of Talking Machines we sit down with Kevin Murphy who is currently a research scien ...
Using Models in the Wild and Women in Machine Learning
02/12/2015
In episode four we talk with Hanna Wallach, of Microsoft Research. She's also a professor in the D ...
The History of Machine Learning from the Inside Out
02/26/2015
In episode five of Talking Machines, we hear the first part of our conversation with Geoffrey Hinton ...
The Future of Machine Learning from the Inside Out
03/13/2015
We hear the second part of our conversation with with Geoffrey Hinton (Google and University of Toro ...
The Automatic Statistician and Electrified Meat
03/26/2015
In episode seven of Talking Machines we talk with Zoubin Ghahramani, professor of Information Engine ...
Spinning Programming Plates and Creative Algorithms
04/09/2015
On episode eight we talk with Charles Sutton, a professor in the School of Informatics University ...
Starting Simple and Machine Learning in Meds
04/23/2015
In episode nine we talk with George Dahl, of  the University of Toronto, about his work on the Merc ...
Interdisciplinary Data and Helping Humans Be Creative
05/07/2015
In Episode 10 we talk with David Blei of Columbia University. We talk about his work on latent diric ...
How We Think About Privacy and Finding Features in Black Boxes
05/21/2015
In episode eleven we chat with Neil Lawrence from the University of Sheffield. We talk about the pro ...
The Economic Impact of Machine Learning and Using The Kernel Trick on Big Data
06/04/2015
In episode twelve we talk with Andrew Ng, Chief Scientist at Baidu, about how speech recognition is ...
Working With Data and Machine Learning in Advertising
06/18/2015
In episode thirteen we talk with Claudia Perlich, Chief Scientist at Dstillery. We talk about her wo ...
Solving Intelligence and Machine Learning Fundamentals
07/02/2015
In episode fourteen we talk with Nando de Freitas. He’s a professor of Computer Science at the Uni ...
Really Really Big Data and Machine Learning in Business
07/16/2015
In episode fifteen we talk with Max Welling, of the University of Amsterdam and University of Califo ...
Machine Learning for Sports and Real Time Predictions
07/30/2015
In episode sixteen we chat with Danny Tarlow of Microsoft Research Cambridge (in the UK not MA). Dan ...
Machine Learning in Biology and Getting into Grad School
08/13/2015
In episode seventeen we talk with Jennifer Listgarten of  Microsoft Research New England about her ...
Active Learning and Machine Learning in Neuroscience
08/27/2015
In episode eighteen we talk with Sham Kakade, of Microsoft Research New England, about his expansive ...
Strong AI and Autoencoders
09/10/2015
In episode nineteen we chat with Hugo Larochelle about his work on unsupervised learning, the Intern ...
Data from Video Games and The Master Algorithm
09/24/2015
In episode 20 we chat with Pedro Domingos of the University of Washington, he's just published a boo ...
Machine Learning Mastery and Cancer Clusters
10/08/2015
In episode twenty one  we talk with Quaid Morris of the University of Toronto, who is using machine ...
Workshops at NIPS and Crowdsourcing in Machine Learning
10/22/2015
In episode twenty two we talk with Adam Kalai of Microsoft Research New England about his work using ...
Probabilistic Programming and Digital Humanities
11/05/2015
In episode 23 we talk with David Mimno of Cornell University about his work in the digital humanitie ...
Open Source Releases and The End of Season One
11/22/2015
In episode twenty four we talk with Ben Vigoda about his work in probabilistic programming (everythi ...
Real Human Actions and Women in Machine Learning
01/14/2016
In episode one of season two, we celebrate the 10th anniversary of Women in Machine Learning (WiML) ...
OpenAI and Gaussian Processes
01/28/2016
In episode two of season two Ryan introduces us to Gaussian processes, we take a listener question o ...
Robotics and Machine Learning Music Videos
02/11/2016
In episode three of season two Ryan walks us through the Alpha Go results and takes a lister questio ...
AI Safety and The Legacy of Bletchley Park
02/25/2016
In episode four of season two, we talk about some of the major issues in AI safety, (and how they’ ...
Machine Learning in Healthcare and The AlphaGo Matches
03/10/2016
In episode five of Season two Ryan walks us through variational inference, we put some listener ques ...
Software and Statistics for Machine Learning
03/24/2016
In episode six of season two, we talk about how to build software for machine learning (and what the ...
Machine Learning and Society
04/08/2016
Episode seven of season two is a little different than our usual episodes, Ryan and Katherine just r ...
Remembering David MacKay
04/21/2016
Recently Professor David MacKay passed away. We’ll spend this episode talking about his extensive ...
Sparse Coding and MADBITS
05/05/2016
In episode nine of season two, we talk about sparse coding, take a listener question about the next ...
Computational Learning Theory and Machine Learning for Understanding Cells
05/19/2016
In episode ten of season two, we talk about Computational Learning Theory and Probably Approximately ...
Spark and ICML
06/02/2016
In episode eleven of season two, we talk about the machine learning toolkit  Spark, we take a liste ...
Fantasizing Cats and Data Numbers
06/16/2016
In episode twelve of season two, we talk about generative adversarial networks, we take a listener q ...
Automatic Translation and t-SNE
07/07/2016
In episode thirteen of season two, we talk about t-Distributed Stochastic Neighbor Embedding (t-SNE) ...
Perturb-and-MAP and Machine Learning in the Flint Water Crisis
07/21/2016
In episode fourteen of season two, we talk about Perturb-and-MAP, we take a listener question about ...
Generative Art and Hamiltonian Monte Carlo
08/04/2016
In episode fifteen of season two, we talk about Hamiltonian Monte Carlo, we take a listener question ...
Eric Lander and Restricted Boltzmann Machines
08/18/2016
In episode sixteen of season two, we get an introduction to Restricted Boltzmann Machines, we take a ...
ANGLICAN and Probabilistic Programming
09/01/2016
In episode seventeen of season two we get an introduction to Min Hashing, talk with Frank Wood the c ...
Hosts of Talking Machines: Neil Lawrence and Ryan Adams
04/27/2017
Talking Machines is entering its third season and going through some changes. Our founding host Ryan ...
Graphons and "Inferencing"
05/25/2017
In episode two of season three Neil takes us through the basics on dropout, we chat about the defini ...
Overfitting and Asking Ecological Questions with ML
06/15/2017
In this episode three of season three of Talking Machines we dive into overfitting, take a listener ...
Bias Variance Dilemma for Humans and the Arm Farm
01/01/1970
In episode four of season three Neil introduces us to the ideas behind the bias variance dilemma (an ...
Getting a Start in ML and Applied AI at Facebook
07/13/2017
In episode five of season three we compare and contrast AI and data science, take a listener questio ...
The Church of Bayes and Collecting Data
01/01/1970
In episode six of season three we chat about the difference between frequentists and Bayesians, take ...
Data Science Africa with Dina Machuve
08/10/2017
In episode seven of season three we take a minute to break way from our regular format and feature a ...
Machine Learning in the Field and Bayesian Baked Goods
01/01/1970
In episode eight of season three we return to the epic (or maybe not so epic) clash between frequent ...
The Long View and Learning in Person
01/01/1970
In episode nine of season three we chat about the difference between models and algorithms, take a l ...
The Pace of Change and The Public View of ML
01/01/1970
In episode ten of season three we talk about the rate of change (prompted by Tim Harford), take a li ...
Code Review for Community Change
02/08/2018
On this episode of Talking Machines we take a break from our regular format to talk about the “cod ...
Scientific Rigor and Turning Information into Action
02/22/2018
In episode two of season four we're proud to bring you the second annual "Hosts of Talking Machine's ...
Natural vs Artificial Intelligence and Doing Unexpected Work
03/08/2018
In season four episode three of Talking Machines we chat about Neil’s recent thinking (definitely ...
Can an AI Practitioner Fix a Radio?
03/22/2018
In episode four of season four we talk more about natural an artificial intelligences and thinking a ...
Good Data Practice Rules
04/05/2018
In episode five of season four we talk about the GDPR or as we like to think of it Good Data Practic ...
Explainability and the Inexplicable
04/19/2018
In episode six of season four we chat about AI and religion, we take a listener question about perso ...
Economies, Work and AI
05/03/2018
In episode seven of season four we chat about Ellis and the UK AI Sector Deal , we take a listener ...
The Futility of Artificial Carpenters and Further Reading
01/01/1970
In episode eight of season four we review some recently published articles by Michael Jordan and Rod ...
Statements on Statements
05/31/2018
In episode 9 of season 4 we talk about the Statement on Nature Machine Intelligence. We reached out ...
Explanations and Reviews
06/14/2018
In episode 10 of season 4 we chat about Counterfactual Explanations without Opening the Black Box: A ...
Aspirational Asimov and How to Survive a Conference
06/28/2018
In season four episode eleven we talk about the possibility of the NIPS conference changing its name ...
ICML 2018 with Jennifer Dy
07/12/2018
Season four episode twelve finds us at ICML! We bring you a special episode with Jennifer Dy, co-pro ...
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" alt="Simulated Learning and Real World Ethics">Simulated Learning and Real World Ethics
01/01/1970
In episode thirteen of season four we chat about simulations, reinforcement learning, and ...
Long Term Fairness
08/09/2018
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Gaussian Processes, Grad School, and Richard Zemel
08/23/2018
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Troubling Trends and Climbing Mountains
01/01/1970
In this episode we talk about an article Troubling Trends in Machine learning Scholarship the differ ...
How to Research in Hype and CIFAR's Strategy
09/20/2018
In episode 17 of season four we talk about how to research in a time of hype (and other lessons from ...
Systems Design and Tools for Transparency
10/05/2018
In episode 18 of season four we talk about systems design, (remember the 3 d's!), tools for transpar ...
AI for Good and The Real World
10/18/2018
In episode nineteen of season four we talk about causality in the real world, take a question about ...
Data Driven Ideas and Actionable Privacy
11/01/2018
In episode twenty of season four we talk about the importance of crediting your data, answer a liste ...
Neural Information Processing Systems and Distributed Internal Intelligence Systems
11/16/2018
In episode twenty one of season four we talk about distributed intelligence systems (mainly those in ...
The Possibility Of Explanation and The End of Season Four
11/29/2018
For the end of season four we take a break from our regular format and bring you a talk from Profess ...
Being Global Bit by Bit
01/17/2019
In episode one of season five we talk about Bit by Bit, take a listener question on machine learning ...
The Bezos Paradox and Machine Learning Languages
02/01/2019
In episode two of season five we unpack the Bezos Paradox (TM Neil Lawrence) take a listener questio ...
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" alt="Real World Real Time and Five Papers for Mike Tipping">Real World Real Time and Five Papers for Mike Tipping
01/01/1970
In season five episode three we chat about take a listener question about Five Papers for Mike Tippi ...
Jupyter Notebooks and Modern Model Distribution
01/01/1970
In episode four of season five we talk about Jupyter Notebooks and Neil's dream of a world craft sof ...
Slowed Down Conferences and Even More Summer Schools
03/14/2019
In episode five of season five we talk about the Stu Hunter conference, Summer schools options (DLRL ...
The Sweetness of a Bitter Lesson and Bringing ML and Healthcare Closer
03/28/2019
In episode six of season five we talk about Richard Sutton's A Bitter Lesson. Chat about IEEE's new ...
Exploring MARS and Getting back to Bayesics
04/11/2019
In episode seven of season five of we chat about MARS and Re: MARS OpenAI's status changes and We ta ...
The Deep End of Deep Learning
04/25/2019
In this episode as we prep for ICLR we take a break from our usual format to bring you a talk from H ...
Insights from AISTATS
05/10/2019
In episode nine of season five we talk about some interesting work from AISTATS, dive into unbiased ...
Reproducibly and Revisiting History
05/23/2019
In episode ten of season five we talk about reproducibility, take a listener question on re understa ...
Data Trusts and Citation Trends
06/06/2019
In episode eleven of season five, we dig in to just what a data trust actually is, take a look at ci ...
DSA Addis Ababa and ICML Los Angeles
06/21/2019
In episode twelve of season five we bring you a rundown of Data Science Africa's latest workshop ans ...
The View from Addis Ababa
07/04/2019
In episode thirteen of season five we bring you a the rest of our conversation with Michael Melese f ...
PosterSession.ai and Deep Quaggles
07/18/2019
In episode 14 of season five we talk about On the marginal likelihood and cross-validation, Katherin ...
Idea Pandemics and Workshop Walkthrough
08/01/2019
in episode 15 of season five of Talking Machines we' chat about the recently announced workshops at ...
Not What But Why
08/15/2019
In this episode of Talking Machines we take a listen to Professor Engelhardt's TedX Boston talk, Not ...
What Does Red Sound Like
08/30/2019
In episode seventeen of season five we talk about Why Red Doesn't Sound Like a Bell, take a listener ...
A Cooperative Path to Artificial Intelligence
01/01/1970
In episode eighteen of season five we hear ...
News from Neil and Updates from DALI
09/26/2019
In episode eighteen of season five we talk about DALI, get some big news about the next thing for Ne ...
Children are the Future and Ada Lovelace Day
10/10/2019
In episode twenty of season five we talk with Neil about a discussion he had about the impact of ML ...
How to Ask an Actionable Question
10/25/2019
In Episode 21 of Season five we sit down with Marzyeh Ghassemi to talk about her work and how she's ...
De-Enchanting AI with the Law
11/07/2019
in episode twenty two of season five we hear a talk from Kenneth Anderson on how the field of AI and ...
Debating Project Debater and Hello NeurIPS
11/21/2019
In our last episode for season five Katherine and Neil debate his debating project debater and talk ...
Predicting the Decade and Distributing Conferences
02/06/2020
In episode one of season six we make some predictions about what will happen in the field in the nex ...
If a Machine Could Predict Your Death, Should it?
02/20/2020
in episode two of season six we hear Ziad Obermeyer's talk from TedX Boston entitled If a Machine Co ...
The Great AI Fallacy
03/05/2020
In this episode we talk about the Great AI Fallacy, take a listener question about Federated Learnin ...
Prioritizing Problems and 100 episodes
03/20/2020
Episode four of season six is our 100th episode! (Well it's Katherine's). We take a break from our r ...
Talking Machines Live and Understanding Modeling Viruses
04/03/2020
Episode five of season six is our first live episode! We talk with Elaine Nsoesie of Boston Uni ...
The Evolution of ML and Furry Little Animals
04/16/2020
In episode six of season six we chat with Professor Terry Sejnowski about his work, the evolution of ...
Humans in the Loop and Outside of the Classroom
05/01/2020
In episode seven of season six we talk with Michael Littman about his work in reinforcement learning ...
ICLR: accessible, inclusive, virtual
05/14/2020
In episode eight of season six we talk with Alexander Rush and Shakir Mohamed about their work on IC ...
Predicting Floods and Really Doing Good
05/29/2020
In this episode of Talking Machines we talk with Sella Nevo of Google Research about the Google Floo ...
Let's Reflect
06/13/2020
We're not bringing you an episode this week. We're taking some time to think about the systems ...
Learning with Less, Invisible Labor and Combating Anti-Blackness
07/09/2021
Devin Guillory of UC Berkeley, is our guest on this episode. We talk about his love of robotics, wor ...
ICML 2021: Test of Time(ly) Award
07/24/2021
Neil and Katherine chat about ICML and the timely award winner of this years test of time award! Bay ...
Responsibility, Risk, and Publishing
08/19/2021
On this episode we feature an interview with Madhulika Shrikumar of the Partnership on AI about thei ...
Gods and Robots
09/09/2021
In this episode of the podcast we shake things up! Neil is on the guest side of the table with his p ...
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en
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