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 work in this field. We'd like to bring you meaningful conversations around those systems and how we can change them and ourselves.  We encourage everyone to explore the amazing work of Black in AI, Data Science Africa and Shut Down STEM.  Take care of yourselves, take care of each other, and stay tuned.

Talking Machines

Let's Reflect

In this episode of Talking Machines we talk with Sella Nevo of Google Research about the Google Flood Forecasting Project,what they'vebeen doing, and what is means to really move the needle on AI for Good. 

Predicting Floods and Really Doing Good

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 Ethiopia and then became totally virtual! 

ICLR: accessible, inclusive, virtual

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

Humans in the Loop and Outside of the Classroom

In episode eight of season six we chat with Professor Terry Sejnowski about his work, the evolution of the field, and the development of the NeurIPS conference. We taped this episode live and took questions from the audience. Want to join our "studio audience"? Check out @tlkngmchns on Twitter.

TM_Andersson_041520_mixdown

Episode seven of season six is our first live episode! We talk with Elaine Nsoesie of Boston University about modeling disease and Covid 19 in the African context. plus we take listen questions live! Want to join our "studio audience" check out our twitter feed for how to sign up! 

Talking Machines Live and Understanding Modeling Viruses

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 current situation around Covid-19, understanding exponentials, and what impact this might have on how problems get prioritized. 

Prioritizing Problems and 100 episodes

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 

The Great AI Fallacy

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?

If a Machine Could Predict Your Death, Should it?

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 work and WiDS

Predicting the Decade and Distributing Conferences

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! 

Debating Project Debater and Hello NeurIPS

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 TedX Boston 

De-Enchanting AI with the Law

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

How to Ask an Actionable Question

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 Dashboard from the Turing Institute in response to a question about cool things for Ada Lovelace day plus we sit down with Corinna Cortes of Google AI 

Children are the Future and Ada Lovelace Day

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.

News from Neil and Updates from DALI

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.