Talking Machines
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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 c...
Neueste Episoden
110 EpisodenGods and Robots
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 thei...
Responsibility, Risk, and Publishing
On this episode we feature an interview with Madhulika Shrikumar of the Partnership on AI about their recent work Managing Risk and Responsible Public...
ICML 2021: Test of Time(ly) Award
Neil and Katherine chat about ICML and the timely award winner of this years test of time award! Bayesian Learning via Stochastic Gradient Langevin Dy...
Learning with Less, Invisible Labor and Combating Anti-Blackness
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 (learning with le...
Let's Reflect
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 rac...
Predicting Floods and Really Doing Good
In this episode of Talking Machines we talk with Sella Nevo of Google Research about the Google Flood Forecasting Project, what they've been doing, an...
ICLR: accessible, inclusive, virtual
In episode eight of season six we talk with Alexander Rush and Shakir Mohamed about their work on ICLR this year which was first to take place in Ethi...
Humans in the Loop and Outside of the Classroom
In episode seven of season six we talk with Michael Littman about his work in reinforcement learning, on scientific communication, and in the classroo...
The Evolution of ML and Furry Little Animals
In episode six of season six we chat with Professor Terry Sejnowski about his work, the evolution of the field, and the development of the NeurIPS con...
Talking Machines Live and Understanding Modeling Viruses
Episode five of season six is our first live episode! We talk with Elaine Nsoesie of Boston University about modeling disease and Covid 19 in the Afri...
Prioritizing Problems and 100 episodes
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 Great AI Fallacy
In this episode we talk about the Great AI Fallacy, take a listener question about Federated Learning, and catch up with Ross Goodwin and Oscar Sharp ...
If a Machine Could Predict Your Death, Should it?
in episode two of season six we hear Ziad Obermeyer's talk from TedX Boston entitled If a Machine Could Predict Your Death, Should it?
See omnys...
Predicting the Decade and Distributing Conferences
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 Gerritsen about her...
Debating Project Debater and Hello NeurIPS
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...
De-Enchanting AI with the Law
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 together to form regulation from...
How to Ask an Actionable Question
In Episode 21 of Season five we sit down with Marzyeh Ghassemi to talk about her work and how she's refined her focus.
See omnystudio.com/listen...
Children are the Future and Ada Lovelace Day
In episode twenty of season five we talk with Neil about a discussion he had about the impact of ML tools on children talk about the new Diversity Das...
News from Neil and Updates from DALI
In episode eighteen of season five we talk about DALI, get some big news about the next thing for Neil and talk with Benjamin Akera.
See omnystu...
A Cooperative Path to Artificial Intelligence
In episode eighteen of season five we hear Michael Littman's talk A Cooperative Path to Artificial Intelligence
See omnystudio.com/listener for...
What Does Red Sound Like
In episode seventeen of season five we talk about Why Red Doesn't Sound Like a Bell, take a listener question about our Turing brackets (and Invent th...
Not What But Why
In this episode of Talking Machines we take a listen to Professor Engelhardt's TedX Boston talk, Not What But Why: Machine Learning for Understanding...
Idea Pandemics and Workshop Walkthrough
in episode 15 of season five of Talking Machines we' chat about the recently announced workshops at NeurIPS 2019, find ourselves in the middle of an I...
PosterSession.ai and Deep Quaggles
In episode 14 of season five we talk about On the marginal likelihood and cross-validation, Katherine is STILL excited about PosterSession.ai, we inve...
The View from Addis Ababa
In episode thirteen of season five we bring you a the rest of our conversation with Michael Melese from Addis Ababa University and Charles Saidu of Ba...
DSA Addis Ababa and ICML Los Angeles
In episode twelve of season five we bring you a rundown of Data Science Africa's latest workshop answer a listener question about what got us excited...
Data Trusts and Citation Trends
In episode eleven of season five, we dig in to just what a data trust actually is, take a look at citation trends and other places (PMLR) you can dig...
Reproducibly and Revisiting History
In episode ten of season five we talk about reproducibility, take a listener question on re understanding the history of the field given where we are...
Insights from AISTATS
In episode nine of season five we talk about some interesting work from AISTATS, dive into unbiased implicit variational inference, and chat with Jon...
The Deep End of Deep Learning
In this episode as we prep for ICLR we take a break from our usual format to bring you a talk from Hugo LaRochelle at TedX Boston on Deep Learning.
Exploring MARS and Getting back to Bayesics
In episode seven of season five of we chat about MARS and Re: MARS OpenAI's status changes and We talk with Jasper Snoek of Google Brain
See omn...
The Sweetness of a Bitter Lesson and Bringing ML and Healthcare Closer
In episode six of season five we talk about Richard Sutton's A Bitter Lesson. Chat about IEEE's new Ethical Guidelines and talk with Andrew Beam Seni...
Slowed Down Conferences and Even More Summer Schools
In episode five of season five we talk about the Stu Hunter conference, Summer schools options (DLRLSS!) and chat with Adrian Weller of the Alan Turin...
Jupyter Notebooks and Modern Model Distribution
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 question abo...
Real World Real Time and Five Papers for Mike Tipping
In season five episode three we chat about take a listener question about Five Papers for Mike Tipping, take a listener question on AIAI and chat with...
The Bezos Paradox and Machine Learning Languages
In episode two of season five we unpack the Bezos Paradox (TM Neil Lawrence) take a listener question about best papers and chat with Dougal Maclaurin...
Being Global Bit by Bit
In episode one of season five we talk about Bit by Bit, take a listener question on machine learning gatherings on the African continent (Deep Learnin...
The Possibility Of Explanation and The End of Season Four
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...
Neural Information Processing Systems and Distributed Internal Intelligence Systems
In episode twenty one of season four we talk about distributed intelligence systems (mainly those internal to humans), talk about what were excited to...
Data Driven Ideas and Actionable Privacy
In episode twenty of season four we talk about the importance of crediting your data, answer a listener question about internships vs salaried positio...