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.

Avsnitt(781)

Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572

Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572

Today we close out our coverage of the ICLR series joined by Meg Mitchell, chief ethics scientist and researcher at Hugging Face. In our conversation with Meg, we discuss her participation in the Wiki...

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Studying Machine Intelligence with Been Kim - #571

Studying Machine Intelligence with Been Kim - #571

Today we continue our ICLR coverage joined by Been Kim, a staff research scientist at Google Brain, and an ICLR 2022 Invited Speaker. Been, whose research has historically been focused on interpretabi...

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Advances in Neural Compression with Auke Wiggers - #570

Advances in Neural Compression with Auke Wiggers - #570

Today we’re joined by Auke Wiggers, an AI research scientist at Qualcomm. In our conversation with Auke, we discuss his team’s recent research on data compression using generative models. We discuss t...

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Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569

Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569

Today we’re joined by Irwan Bello, formerly a research scientist at Google Brain, and now on the founding team at a stealth AI startup. We begin our conversation with an exploration of Irwan’s recent ...

25 Apr 202246min

Daring to DAIR: Distributed AI Research with Timnit Gebru - #568

Daring to DAIR: Distributed AI Research with Timnit Gebru - #568

Today we’re joined by friend of the show Timnit Gebru, the founder and executive director of DAIR, the Distributed Artificial Intelligence Research Institute. In our conversation with Timnit, we discu...

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Hierarchical and Continual RL with Doina Precup - #567

Hierarchical and Continual RL with Doina Precup - #567

Today we’re joined by Doina Precup, a research team lead at DeepMind Montreal, and a professor at McGill University. In our conversation with Doina, we discuss her recent research interests, including...

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Open-Source Drug Discovery with DeepChem with Bharath Ramsundar - #566

Open-Source Drug Discovery with DeepChem with Bharath Ramsundar - #566

Today we’re joined by Bharath Ramsundar, founder and CEO of Deep Forest Sciences. In our conversation with Bharath, we explore his work on the DeepChem, an open-source library for drug discovery, mate...

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Advancing Hands-On Machine Learning Education with Sebastian Raschka - #565

Advancing Hands-On Machine Learning Education with Sebastian Raschka - #565

Today we’re joined by Sebastian Raschka, an assistant professor at the University of Wisconsin-Madison and lead AI educator at Grid.ai. In our conversation with Sebastian, we explore his work around A...

28 Mars 202240min

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