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Conversations with the people building AI

Explaining AI explainability

Explaining AI explainability

The CEO of Darwin AI, Sheldon Fernandez, joins Daniel to discuss generative synthesis and its connection to explainability. You might have heard of AutoML and meta-learning. Well, generative synthesis tackles similar problems from a different angle and results in compact, explainable networks. This episode is…

47 MinutesPractical AI

Panel: Advancing Your Data Science Career During the Pandemic - #380

Panel: Advancing Your Data Science Career During the Pandemic - #380

Today we’re joined by Ana Maria Echeverri, Caroline Chavier, Hilary Mason, and Jacqueline Nolis, our guests for the recent Advancing Your Data Science Career During the Pandemic panel. In this conversation, we explore ways that Data Scientists and ML/AI practitioners can continue to advance their careers despite…

1h 07mThe TWIML AI Podcast

On George Floyd, Empathy, and the Road Ahead

On George Floyd, Empathy, and the Road Ahead

Visit twimlai.com/blacklivesmatter for resources to support organizations pushing for social equity like Black Lives Matter, and groups offering relief for those jailed for exercising their rights to peaceful protest.

06 MinutesThe TWIML AI Podcast

Engineering a Less Artificial Intelligence with Andreas Tolias - #379

Engineering a Less Artificial Intelligence with Andreas Tolias - #379

Today we’re joined by Andreas Tolias, Professor of Neuroscience at Baylor College of Medicine. We caught up with Andreas to discuss his recent perspective piece, “Engineering a Less Artificial Intelligence,” which explores the shortcomings of state-of-the-art learning algorithms in comparison to the brain. The paper…

46 MinutesThe TWIML AI Podcast

Exploring NVIDIA's Ampere & the A100 GPU

Exploring NVIDIA's Ampere & the A100 GPU

On the heels of NVIDIA’s latest announcements, Daniel and Chris explore how the new NVIDIA Ampere architecture evolves the high-performance computing (HPC) landscape for artificial intelligence. After investigating the new specifications of the NVIDIA A100 Tensor Core GPU, Chris and Daniel turn their attention to the…

53 MinutesPractical AI

Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez - #378

Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez - #378

Today we’re joined by Joseph Gonzalez, Assistant Professor in the EECS department at UC Berkeley. In our conversation, we explore Joseph’s paper “Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers,” which looks at compute-efficient training strategies for models. We…

52 MinutesThe TWIML AI Podcast

The Physics of Data with Alpha Lee - #377

The Physics of Data with Alpha Lee - #377

Today we’re joined by Alpha Lee, Winton Advanced Fellow in the Department of Physics at the University of Cambridge. Our conversation centers around Alpha’s research which can be broken down into three main categories: data-driven drug discovery, material discovery, and physical analysis of machine learning. We…

34 MinutesThe TWIML AI Podcast

Is Linguistics Missing from NLP Research? w/ Emily M. Bender - #376 🦜

Is Linguistics Missing from NLP Research? w/ Emily M. Bender - #376 🦜

Today we’re joined by Emily M. Bender, Professor of Linguistics at the University of Washington. Our discussion covers a lot of ground, but centers on the question, "Is Linguistics Missing from NLP Research?" We explore if we would be making more progress, on more solid foundations, if more linguists were involved in…

53 MinutesThe TWIML AI Podcast

Understanding the COVID-19 Data Quality Problem with Sherri Rose - #374

Understanding the COVID-19 Data Quality Problem with Sherri Rose - #374

Today we’re joined by Sherri Rose, Associate Professor at Harvard Medical School. We cover a lot of ground in our conversation, including the intersection of her research with the current COVID-19 pandemic, the importance of quality in datasets and rigor when publishing papers, and the pitfalls of using causal…

44 MinutesThe TWIML AI Podcast

AI for Good: clean water access in Africa

AI for Good: clean water access in Africa

Chandler McCann tells Daniel and Chris about how DataRobot engaged in a project to develop sustainable water solutions with the Global Water Challenge (GWC). They analyzed over 500,000 data points to predict future water point breaks. This enabled African governments to make data-driven decisions related to budgeting…

43 MinutesPractical AI

The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373

The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373

Today we’re joined by Lukas Biewald, founder and CEO of Weights & Biases, to discuss their new tool Artifacts, an end to end pipeline tracker. In our conversation, we explore Artifacts’ place in the broader machine learning tooling ecosystem through the lens of our eBook “The definitive guide to ML Platforms” and how…

55 MinutesThe TWIML AI Podcast