Lagrange to Present ‘AI-Zero Knowledge Proof’ Paper at SBC 2025 in the U.S.
Summary
- Lagrange announced on the 30th that it will present a paper on AI-Zero Knowledge Proof at the Science of Blockchain Conference 2025.
- The new paper introduces a scalable framework that adapts to various environments, which is considered a significant step forward for the development of real-world decentralized applications (dApps).
- Lagrange stated that it will further solidify its role as a key technology contributor in the fields of zero-knowledge and AI.

Artificial Intelligence (AI) blockchain project Lagrange announced on the 30th that it will present its latest research paper, Dynamic zk-SNARKs, at the Science of Blockchain Conference (SBC) 2025.
SBC, established in 2016, is one of the most prestigious academic and industry conferences in the blockchain sector, where cryptographers and practitioners from around the world gather in one place. The event aims to foster collaboration in blockchain protocols, cryptography, distributed systems, secure computation, and crypto-economics. Co-hosted by Stanford University and IC3, this year’s conference will be held in August at the University of California, Berkeley (UC Berkeley).
This is the second time Lagrange’s paper has been accepted, following last year in 2023. The new paper proposes a framework for efficient AI zero-knowledge proofs that are adaptable to diverse environments and scalable, marking an important leap forward for real-world, decentralized application (dApp) development.
Ismael Hishon-Rezaizadeh, CEO of Lagrange, said, "It is an honor to be able to contribute to the SBC community once again. Being recognized by leading experts in the blockchain field further solidifies our mission to advance research in zero-knowledge technology and the practical application of Web3."
He added, "Lagrange’s continued recognition is a result of our technical efforts to translate cryptographic systems theory into practice. We will further strengthen our position as a key technology contributor in the zero-knowledge and AI domains."

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