by Cindy Tan
Published: September 15, 2023 at 9:13 am Updated: September 15, 2023 at 9:17 am
The Nil Foundation and Taceo have joined forces to unleash the full potential of zero-knowledge machine learning (ZKML) on Ethereum’s blockchain. By teaming up, these innovative companies are striving to simplify the integration of machine learning models into decentralized applications (dApps) while maintaining a high level of security and trust.
Traditionally, the execution of machine learning models has lacked provability, posing risks for dApps operating on Layer-1 blockchains. However, with ZKML, the collaboration between Nil Foundation and Taceo aims to address this challenge. By leveraging zero-knowledge proofs (ZKPs), the execution of machine learning operations and the integrity of training datasets can be securely proven within Ethereum smart contracts.
To bridge the technical gap and make ZKML more accessible, Taceo plans to utilize the LLVM compiler toolchain. This open-source compiler framework can generate circuits directly from pre-trained neural networks (NNs), eliminating the need for developers to rewrite models in domain-specific zero-knowledge languages.
On the other hand, the Nil team is focusing on developing an efficient and automated circuit compilation process using their zkLLVM toolchain. This approach aims to streamline the integration of mainstream programming languages like C++ and Rust into the zero-knowledge environment.
The collaboration between Nil Foundation and Taceo represents a significant step toward a more secure and transparent Web3 ecosystem. By enabling trustless machine learning operations on the Ethereum blockchain, this partnership lays the foundation for secure and innovative applications across various domains, including decentralized finance (DeFi) and healthcare.
Q: What is zero-knowledge machine learning?
A: Zero-knowledge machine learning (ZKML) combines the principles of zero-knowledge proofs (ZKPs) and machine learning. It allows the execution of machine learning operations to be proven within a blockchain ecosystem, ensuring transparency and security.
Q: How does the collaboration between Nil Foundation and Taceo benefit developers?
A: The partnership aims to lower the technical barrier by providing developers with tools and frameworks that simplify the integration of machine learning models into blockchain applications. This makes it more accessible for a wider range of developers to leverage zero-knowledge machine learning.
Q: What are the potential applications of zero-knowledge machine learning?
A: Zero-knowledge machine learning has various applications, including decentralized finance (DeFi), healthcare, and other domains that require secure and transparent decision-making over large datasets. It enables the development of innovative and privacy-preserving applications within the Web3 ecosystem.