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Automated Model Tuning with SigOpt - #324

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Release Date: 12/09/2019

Engineering a Less Artificial Intelligence with Andreas Tolias - #379 show art Engineering a Less Artificial Intelligence with Andreas Tolias - #379

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Andreas Tolias, Professor of Neuroscience at Baylor College of Medicine.

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

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Joseph Gonzalez, Assistant Professor in the EECS department at UC Berkeley.

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The Physics of Data with Alpha Lee - #377 show art The Physics of Data with Alpha Lee - #377

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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 discuss the similarities and differences between drug discovery and material science, his startup, PostEra which offers medicinal chemistry as a service powered by machine learning, and much more

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

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Emily M. Bender, Professor of Linguistics at the University of Washington.

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Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks with Nataniel Ruiz - #375 show art Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks with Nataniel Ruiz - #375

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Nataniel Ruiz, a PhD Student at Boston University.

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

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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 inference.

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

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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 it fits with the W&B model management platform. We discuss also discuss what exactly “Artifacts” are, what the tool is tracking, and take a look at the onboarding process for users.

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Language Modeling and Protein Generation at Salesforce with Richard Socher - #372 show art Language Modeling and Protein Generation at Salesforce with Richard Socher - #372

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined Richard Socher, Chief Scientist and Executive VP at Salesforce. Richard and his team have published quite a few great projects lately, including CTRL: A Conditional Transformer Language Model for Controllable Generation, and ProGen, an AI Protein Generator, both of which we cover in-depth in this conversation. We also explore the balancing act between investments, product requirement research and otherwise at a large product-focused company like Salesforce.

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AI Research at JPMorgan Chase with Manuela Veloso - #371 show art AI Research at JPMorgan Chase with Manuela Veloso - #371

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Manuela Veloso, Head of AI Research at J.P. Morgan Chase. Since moving from CMU to JP Morgan Chase, Manuela and her team established a set of seven lofty research goals. In this conversation we focus on the first three: building AI systems to eradicate financial crime, safely liberate data, and perfect client experience. We also explore Manuela’s background, including her time CMU in the ‘80s, or as she describes it, the “mecca of AI,” and her founding role with RoboCup.

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Panel: Responsible Data Science in the Fight  Against COVID-19 - #370 show art Panel: Responsible Data Science in the Fight Against COVID-19 - #370

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

In this discussion, we explore how data scientists and ML/AI practitioners can responsibly contribute to the fight against coronavirus and COVID-19. Four experts: Rex Douglass, Rob Munro, Lea Shanley, and Gigi Yuen-Reed shared a ton of valuable insight on the best ways to get involved.

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More Episodes

In this TWIML Democast, we're joined by SigOpt Co-Founder and CEO Scott Clark. Scott details the SigOpt platform, and gives us a live demo!

This episode is best consumed by watching the corresponding video demo, which you can find at twimlai.com/talk/324