Revolutionizing Machine Learning On Ethereum: Nil Foundation And Taceo’s Pioneering Partnership

Key Points:

• Nil Foundation and Taceo are collaborating to enable trustless machine learning by verifying models on the Ethereum Layer 1 mainnet using zero-knowledge technology.
• The partnership leverages Nil Foundation’s zkLLVM compiler tool, capable of verifying machine learning calculations across various mainstream programming languages, fostering a future where machine learning operates securely within smart contracts on the blockchain.

Nil Foundation and research firm Taceo are joining forces to create a revolutionary software pipeline on Ethereum. 

This pipeline is centered around the utilization of zero-knowledge technology to verify machine learning models on the Ethereum Layer 1 mainnet, marking a significant stride toward trustless machine learning.

The primary objective of this partnership is to establish a robust framework for the verification of machine learning models on the Ethereum blockchain. This pioneering effort aims to enable machine learning applications to seamlessly operate within smart contracts, eliminating the need for intermediaries and third-party trust.

A cornerstone of this innovative venture is the Nil Foundation’s zkLLVM compiler tool. Designed to harness the power of Zero-Knowledge (ZK) proofs, zkLLVM possesses the capability to verify data integrity within software systems without relying on trust. This compiler is exceptionally versatile, capable of validating machine learning calculations across a range of mainstream development languages supported by LLVM, including C++, Rust, JavaScript/TypeScript, among others.

By integrating zkLLVM into the Ethereum Layer 1 mainnet, Nil Foundation and Taceo are pioneering a new era of secure and verifiable machine learning on the blockchain. This has far-reaching implications for industries where trust and data integrity are paramount, such as finance, healthcare, and supply chain management.

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