Visualizing Climate Impact with GANs w/ Sasha Luccioni - #413

Visualizing Climate Impact with GANs w/ Sasha Luccioni - #413

Today we’re joined by Sasha Luccioni, a Postdoctoral Researcher at the MILA Institute, and moderator of our upcoming TWIMLfest Panel, ‘Machine Learning in the Fight Against Climate Change.’ We were first introduced to Sasha’s work through her paper on ‘Visualizing The Consequences Of Climate Change Using Cycle-consistent Adversarial Networks’, and we’re excited to pick her brain about the ways ML is currently being leveraged to help the environment. In our conversation, we explore the use of GANs to visualize the consequences of climate change, the evolution of different approaches she used, and the challenges of training GANs using an end-to-end pipeline. Finally, we talk through Sasha’s goals for the aforementioned panel, which is scheduled for Friday, October 23rd at 1 pm PT. Register for all of the great TWIMLfest sessions at twimlfest.com! The complete show notes for this episode can be found at twimlai.com/go/413.

Episoder(783)

AI for Social Good: Why "Good" isn't Enough with Ben Green - #368

AI for Social Good: Why "Good" isn't Enough with Ben Green - #368

Today we’re joined by Ben Green, PhD Candidate at Harvard and Research Fellow at the AI Now Institute at NYU. Ben’s research is focused on the social and policy impacts of data science, with a focus...

23 Apr 202041min

The Evolution of Evolutionary AI with Risto Miikkulainen - #367

The Evolution of Evolutionary AI with Risto Miikkulainen - #367

Today we’re joined by Risto Miikkulainen, Associate VP of Evolutionary AI at Cognizant AI. Risto joined us back on episode #47 to discuss evolutionary algorithms, and today we get an update on the lat...

20 Apr 202037min

Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366

Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366

Today we’re super excited to share our recent conversation with Quoc Le, a research scientist at Google. Quoc joins us to discuss his work on Google’s AutoML Zero, semi-supervised learning, and the de...

16 Apr 202054min

Automating Electronic Circuit Design with Deep RL w/ Karim Beguir - #365

Automating Electronic Circuit Design with Deep RL w/ Karim Beguir - #365

Today we’re joined by return guest Karim Beguir, Co-Founder and CEO of InstaDeep. In our conversation, we chat with Karim about InstaDeep’s new offering, DeepPCB, an end-to-end platform for automated ...

13 Apr 202035min

Neural Ordinary Differential Equations with David Duvenaud - #364

Neural Ordinary Differential Equations with David Duvenaud - #364

Today we’re joined by David Duvenaud, Assistant Professor at the University of Toronto, to discuss his research on Neural Ordinary Differential Equations, a type of continuous-depth neural network. In...

9 Apr 202049min

The Measure and Mismeasure of Fairness with Sharad Goel - #363

The Measure and Mismeasure of Fairness with Sharad Goel - #363

Today we’re joined by Sharad Goel, Assistant Professor at Stanford. Sharad, who also has appointments in the computer science, sociology, and law departments, has spent recent years focused on applyin...

6 Apr 202048min

Simulating the Future of Traffic with RL w/ Cathy Wu - #362

Simulating the Future of Traffic with RL w/ Cathy Wu - #362

Today we’re joined by Cathy Wu, Assistant Professor at MIT. We had the pleasure of catching up with Cathy to discuss her work applying RL to mixed autonomy traffic, specifically, understanding the pot...

2 Apr 202035min

Consciousness and COVID-19 with Yoshua Bengio - #361

Consciousness and COVID-19 with Yoshua Bengio - #361

Today we’re joined by one of, if not the most cited computer scientist in the world, Yoshua Bengio, Professor at the University of Montreal and the Founder and Scientific Director of MILA. We caught u...

30 Mar 202049min

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