Machine Learning

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With DZK, we can now compute billions of logical gates. That's a 100x factor increase in the size of a circuit that we can reason about. It naturally arises that we can just solve much larger problems all of a sudden. We went through kind of the different applications and use cases that would be interesting and also practical for the timeline of a research paper. And we basically came up with two areas that were cool to look at.

In this episode, we sit down with Howard Wu to explore zkSNARKs, the challenges in the application of this awesome technology, the new ideas emerging for how to scale them and his latest work on DIZK.

This is the 2nd in our ongoing series about Zero Knowledge technologies. To get a good sense of Zero Knowledge Proofs, please listen to our introduction to the topic in Episode 21.

Howard Wu is an early member of Blockchain at Berkeley, the co-author of Libsnark, and a managing partner of Dekrypt Capital.

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