Zero Knowledge and Machine Learning can lead up to more than just being buzz words in crypto-sphere. Zero Knowledge proofs are used for verifying the computational integrity of machine learning models. The applications can be used in DeFi, CoFi, Autonomous World applications and oracles. It's an emerging domain where the goal is to execute machine learning models in such a way that the input, output, or the model itself remains private, but the computation is verifiable. Still  in its R\&D phase of technology life cycle and still a huge technical debt to machine learning developers but might have huge implications in the future and the next era of computing.

Introduction

Interoperability can be likened to a universal translator, allowing seamless communication between people speaking different languages. When applied to the blockchain domain, it opens a plethora of possibilities and opportunities. Interoperability is crucial because it enables disparate blockchains and decentralized applications to exchange information seamlessly. This not only enhances the functionality and value of blockchain networks, but it also fosters collaboration, leverages their individual strengths, and fosters wider adoption of blockchain technology by making it more accessible and user-friendly for developers and users alike. One of the most frustrating experiences in Web 3.0 is having to create different wallets for each new chain and sending funds to each respective address. This post aims not to delve into the complexities of blockchain interoperability, but rather to provide an insight into its mechanics. The key facets to focus on are efficiency, security, scalability, flexibility, and decentralization.