Zero-knowledge proofs (ZK) and Machine Learning (ML) may seem unrelated, but they have significant connections. ZK, a cryptographic method, can address issues in blockchain technology, such as scalability and privacy.
On the other hand, ML uses algorithms to recognize patterns and make predictions. ZK and ML come together in ZKML, where ZK ensures privacy and verification in the context of machine learning.
Their combination leads to various opportunities detailed in the article.