AI for Ecology and Ecosystem Preservation with Bryan Carstens - #449

AI for Ecology and Ecosystem Preservation with Bryan Carstens - #449

Today we’re joined by Bryan Carstens, a professor in the Department of Evolution, Ecology, and Organismal Biology & Head of the Tetrapod Division in the Museum of Biological Diversity at The Ohio State University. In our conversation with Bryan, who comes from a traditional biology background, we cover a ton of ground, including a foundational layer of understanding for the vast known unknowns in species and biodiversity, and how he came to apply machine learning to his lab’s research. We explore a few of his lab’s projects, including applying ML to genetic data to understand the geographic and environmental structure of DNA, what factors keep machine learning from being used more frequently used in biology, and what’s next for his group. The complete show notes for this episode can be found at twimlai.com/go/449.

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Systems and Software for Machine Learning at Scale with Jeff Dean - TWiML Talk #124

Systems and Software for Machine Learning at Scale with Jeff Dean - TWiML Talk #124

In this episode I’m joined by Jeff Dean, Google Senior Fellow and head of the company’s deep learning research team Google Brain, who I had a chance to sit down with last week at the Googleplex in Mou...

2 Huhti 201854min

Semantic Segmentation of 3D Point Clouds with Lyne Tchapmi - TWiML Talk #123

Semantic Segmentation of 3D Point Clouds with Lyne Tchapmi - TWiML Talk #123

In this episode I’m joined by Lyne Tchapmi, PhD student in the Stanford Computational Vision and Geometry Lab, to discuss her paper, “SEGCloud: Semantic Segmentation of 3D Point Clouds.” SEGCloud is a...

29 Maalis 201836min

Predicting Cardiovascular Risk Factors from Eye Images with Ryan Poplin - TWiML Talk #122

Predicting Cardiovascular Risk Factors from Eye Images with Ryan Poplin - TWiML Talk #122

In this episode, I'm joined by Google Research Scientist Ryan Poplin, who recently co-authored the paper “Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning.” ...

26 Maalis 201842min

Reproducibility and the Philosophy of Data with Clare Gollnick - TWiML Talk #121

Reproducibility and the Philosophy of Data with Clare Gollnick - TWiML Talk #121

In this episode, i'm joined by Clare Gollnick, CTO of Terbium Labs, to discuss her thoughts on the “reproducibility crisis” currently haunting the scientific landscape. For a little background, a “Nat...

22 Maalis 201838min

Surveying the Connected Car Landscape with GK Senthil - TWiML Talk #120

Surveying the Connected Car Landscape with GK Senthil - TWiML Talk #120

In this episode, I’m joined by GK Senthil, director & chief product owner for innovation at Toyota Connected. GK and I spoke about some of the potential opportunities and challenges for smart cars. We...

19 Maalis 201830min

Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang

Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang

In this episode, I’m joined by Ian Goodfellow, Staff Research Scientist at Google Brain and Sandy Huang, Phd Student in the EECS department at UC Berkeley, to discuss their work on the paper Adversari...

15 Maalis 201847min

Towards Abstract Robotic Understanding with Raja Chatila - TWiML Talk #118

Towards Abstract Robotic Understanding with Raja Chatila - TWiML Talk #118

In this episode, we're joined by Raja Chatila, director of Intelligent Systems and Robotics at Pierre and Marie Curie University in Paris, and executive committee chair of the IEEE global initiative o...

12 Maalis 201847min

Discovering Exoplanets w/ Deep Learning with Chris Shallue - TWiML Talk #117

Discovering Exoplanets w/ Deep Learning with Chris Shallue - TWiML Talk #117

Earlier this week, I had a chance to speak with Chris Shallue, Senior Software Engineer on the Google Brain Team, about his project and paper on “Exploring Exoplanets with Deep Learning.” This is a gr...

8 Maalis 201845min

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