I've been reading about:

ZK + AI = ZKML -> Zero Knowledge applied in Machine Learning for Artificial Intelligence.

🔶 Problems with AI and Blockchain

Historically, three main obstacles have hindered the use of AI in a decentralized environment:

1. Redundant computation across all nodes for consensus.

2. Keeping input data (models) private.

3. Expensive gas fee for implementing machine learning models on-chain.

However, today we see that ZK technology and gas that is becoming cheaper in most Infrastructures enable the use of AI in decentralized environments.

🔶 Who stands out

I see that @MinaProtocol has been very encouraging the Build in ZKML. This opens up new possibilities for developers, allowing them to create ZK applications that leverage predictive analytics for financial forecasting or use image recognition to improve user security — all while preserving the privacy guarantees of zero-knowledge proofs.

In $MINA the idea is to leverage the use of the ONNX language, a programming language that can represent an ML model in a standardized way.

🔶 Applicability

- Rocky Bot: An off-chain trading bot that generates ZK proofs of its computational process, allowing the validation of its operations without revealing sensitive information.

- Decentralized AI workflows: multiple models can be chained together to complete complex tasks (such as analyzing legal documents or medical images) while preserving privacy.

Reference links in the next tweet ⬇️⬇️