The Talking Machines-logo

The Talking Machines

Educational >

More Information

Location:

Harvard University, Cambridge, MA

Twitter:

@TlkngMchns

Language:

English


Episodes

The View from Addis Ababa

7/4/2019
More
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 Baze University Abuja

Duration:00:22:43

DSA Addis Ababa and ICML Los Angeles

6/20/2019
More
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 at ICML and hear the first part of our conversation with Michael Melese from Addis Ababa University and Charles Saidu of Baze University Abuja

Duration:00:55:44

Data Trusts and Citation Trends

6/6/2019
More
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 up data to understand the field and talk with Raia Hadsell of DeepMind.

Duration:00:55:32

Reproducibly and Revisiting History

5/23/2019
More
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 now and how other fields are reviewing their own history and listen to a conversation with Graham Taylor of the Vector Institute.

Duration:00:46:09

Insights from AISTATS

5/9/2019
More
In episode nine of season five we talk about some interesting work from AISTATS, dive into unbiased implicit variational inference, and chat with Jon McAuliffe CIO of Voleon

Duration:00:52:09

The Deep End of Deep Learning

4/25/2019
More
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.

Duration:00:19:47

Exploring MARS and Getting back to Bayesics

4/11/2019
More
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

Duration:01:09:18

The Sweetness of a Bitter Lesson and Bringing ML and Healthcare Closer

3/28/2019
More
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 Senior Fellownn at Flagship Pioneering, Head of Machine Learning for Flagship VL57 and Assistant Professor, Department of Epidemiology, Harvard T.H. Chan School of Public Health. Here are some of the papers we got to chat about! Also, VL57 is hiring! Adversarial attacks on Medical ML Science paper Finlayson, S.G., Bowers, J.D., Ito, J.,...

Duration:00:51:03

Slowed Down Conferences and Even More Summer Schools

3/14/2019
More
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 Turing Institute

Duration:00:44:13

Jupyter Notebooks and Modern Model Distribution

2/28/2019
More
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 about the conversation surrounding Open AI's GPT-2 its announcement and the coverage and we hear an interview with Brooks Paige of the Alan Turing Instiute

Duration:00:37:22

Real World Real Time and Five Papers for Mike Tipping

2/14/2019
More
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 Eoin O'Mahony of Uber Here are Neil's five papers. What are yours? Stochastic variational inference by Hoffman, Wang, Blei and Paisley http://arxiv.org/abs/1206.7051 A way of doing approximate inference for probabilistic models with potentially billions of data ... need I say more? Austerity in MCMC Land: Cutting the Metropolis Hastings...

Duration:01:03:16

The Bezos Paradox and Machine Learning Languages

1/31/2019
More
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 of Google Brain.

Duration:00:41:01

Being Global Bit by Bit

1/17/2019
More
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 Learning INDABA! DSA!) and hear an interview with Daphne Koller recorded at ODSC West

Duration:00:50:37

The Possibility Of Explanation and The End of Season Four

11/29/2018
More
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 possibility of explanation Tune in next season!

Duration:00:18:12

Neural Information Processing Systems and Distributed Internal Intelligence Systems

11/15/2018
More
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 the Conference on Neural Information Processing Systems and in advance of our trek to Canada we chat with Garth Gibson president and CEO of the Vector Institute.

Duration:00:38:04

Data Driven Ideas and Actionable Privacy

11/1/2018
More
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 Matt Kusner of the Alan Turing institute the UK’s national institute for data science and AI.

Duration:00:46:48

AI for Good and The Real World

10/18/2018
More
In episode nineteen of season four we talk about causality in the real world, take a question about being surprised by the elephant in the room and talk with Kush Varshney of IBM.

Duration:00:25:24

Systems Design and Tools for Transparency

10/4/2018
More
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 national institute for data science and AI.

Duration:00:40:20

How to Research in Hype and CIFAR's Strategy

9/20/2018
More
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 of variational methods, and with Chat with Elissa Strome director of the Pan-Canadian AI Strategy for CIFAR

Duration:00:37:07

Troubling Trends and Climbing Mountains

9/7/2018
More
In this episode we talk about an article Troubling Trends in Machine learning Scholarship the difference between engineering and science (and the mountains you climb to span the distance) plus we talk with David Duvenaud of the University of Toronto

Duration:00:41:21