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Episode 321: STIR with Gal Arnon & Giacomo Fenzi
In this week’s episode, Anna and Kobi chat with Gal Arnon, Ph.D student from the Weizmann Institute of Science...
latest Episode
Episode 321: STIR with Gal Arnon & Giacomo Fenzi
In this week’s episode, Anna and Kobi chat with Gal Arnon, Ph.D student from the Weizmann Institute of Science...
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Episode 321: STIR with Gal Arnon & Giacomo Fenzi
In this week’s episode, Anna and Kobi chat with Gal Arnon, Ph.D student from the Weizmann Institute of Science & Giacomo Fenzi, Ph.D. student in the COMPSEC Lab at EPFL.
Gal and Giacomo are amongst the co-authors of ‘STIR: Reed–Solomon Proximity Testing with Fewer Queries’ and in this conversation, they discuss how their research led them to work on these topics and where the thesis for this particular work sparked from. They set the stage by exploring the history of FRI and discussing some hidden nuances in how FRI works. And then they introduce STIR, a system that can be used in place of FRI, which incorporates various optimisations to improve the performance.
Announcement: ZK Hack Krakow – May 17-19 2024
A quick announcement for ZK Hack Krakow, happening from May 17-19 2024. Apply to join us https://www.zkkrakow.com/
Episode 320: A Deep Dive into Shared Sequencers with Espresso’s Ben Fisch
In this week’s episode, Anna (https://twitter.com/annarrose) and Brendan Farmer (https://twitter.com/_bfarmer) catch up with Ben Fisch (https://twitter.com/benafisch), CEO of Espresso Systems (https://www.espressosys.com/). They explore the inner workings of the current L2 sequencing landscape and then discuss how a shared sequencing marketplace like Espresso works. They touch on how MEV plays a part in the new system, how the role of the sequencer can be separated into subroles, how all these parts will work together in such a system and much more.
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In this week’s episode, Anna and Kobi chat with Gal Arnon, Ph.D student from the Weizmann Institute of Science & Giacomo Fenzi, Ph.D. student in the COMPSEC Lab at EPFL.
Gal and Giacomo are amongst the co-authors of ‘STIR: Reed–Solomon Proximity Testing with Fewer Queries’ and in this conversation, they discuss how their research led them to work on these topics and where the thesis for this particular work sparked from. They set the stage by exploring the history of FRI and discussing some hidden nuances in how FRI works. And then they introduce STIR, a system that can be used in place of FRI, which incorporates various optimisations to improve the performance.
In this week’s episode, Anna and Kobi chat with Gal Arnon, Ph.D student from the Weizmann Institute of Science & Giacomo Fenzi, Ph.D. student in the COMPSEC Lab at EPFL.
Gal and Giacomo are amongst the co-authors of ‘STIR: Reed–Solomon Proximity Testing with Fewer Queries’ and in this conversation, they discuss how their research led them to work on these topics and where the thesis for this particular work sparked from. They set the stage by exploring the history of FRI and discussing some hidden nuances in how FRI works. And then they introduce STIR, a system that can be used in place of FRI, which incorporates various optimisations to improve the performance.
In this week’s episode, Anna and Kobi chat with Gal Arnon, Ph.D student from the Weizmann Institute of Science & Giacomo Fenzi, Ph.D. student in the COMPSEC Lab at EPFL.
Gal and Giacomo are amongst the co-authors of ‘STIR: Reed–Solomon Proximity Testing with Fewer Queries’ and in this conversation, they discuss how their research led them to work on these topics and where the thesis for this particular work sparked from. They set the stage by exploring the history of FRI and discussing some hidden nuances in how FRI works. And then they introduce STIR, a system that can be used in place of FRI, which incorporates various optimisations to improve the performance.
In this week’s episode, Anna and Kobi chat with Gal Arnon, Ph.D student from the Weizmann Institute of Science & Giacomo Fenzi, Ph.D. student in the COMPSEC Lab at EPFL.
Gal and Giacomo are amongst the co-authors of ‘STIR: Reed–Solomon Proximity Testing with Fewer Queries’ and in this conversation, they discuss how their research led them to work on these topics and where the thesis for this particular work sparked from. They set the stage by exploring the history of FRI and discussing some hidden nuances in how FRI works. And then they introduce STIR, a system that can be used in place of FRI, which incorporates various optimisations to improve the performance.
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In this week’s episode, Anna and Kobi chat with Gal Arnon, Ph.D student from the Weizmann Institute of Science & Giacomo Fenzi, Ph.D. student in the COMPSEC Lab at EPFL.
Gal and Giacomo are amongst the co-authors of ‘STIR: Reed–Solomon Proximity Testing with Fewer Queries’ and in this conversation, they discuss how their research led them to work on these topics and where the thesis for this particular work sparked from. They set the stage by exploring the history of FRI and discussing some hidden nuances in how FRI works. And then they introduce STIR, a system that can be used in place of FRI, which incorporates various optimisations to improve the performance.
In this week’s episode, Anna and Kobi chat with Gal Arnon, Ph.D student from the Weizmann Institute of Science & Giacomo Fenzi, Ph.D. student in the COMPSEC Lab at EPFL.
Gal and Giacomo are amongst the co-authors of ‘STIR: Reed–Solomon Proximity Testing with Fewer Queries’ and in this conversation, they discuss how their research led them to work on these topics and where the thesis for this particular work sparked from. They set the stage by exploring the history of FRI and discussing some hidden nuances in how FRI works. And then they introduce STIR, a system that can be used in place of FRI, which incorporates various optimisations to improve the performance.
In this week’s episode, Anna and Kobi chat with Gal Arnon, Ph.D student from the Weizmann Institute of Science & Giacomo Fenzi, Ph.D. student in the COMPSEC Lab at EPFL.
Gal and Giacomo are amongst the co-authors of ‘STIR: Reed–Solomon Proximity Testing with Fewer Queries’ and in this conversation, they discuss how their research led them to work on these topics and where the thesis for this particular work sparked from. They set the stage by exploring the history of FRI and discussing some hidden nuances in how FRI works. And then they introduce STIR, a system that can be used in place of FRI, which incorporates various optimisations to improve the performance.
