CAEBloX addresses the inefficiencies and high costs associated with sharing CAE (Computer-Aided Engineering) data. Currently, developing and accessing high-fidelity CAE datasets is expensive and often hindered by intellectual property concerns. CAEBloX provides a decentralized marketplace where engineers can securely monetize their data while companies can access valuable datasets for machine learning and simulation needs at a fraction of the traditional cost.

CAEBloX utilizes blockchain technology to create a decentralized economy. Engineers can transform their unique CAE models into secure digital assets called NFTs (Non-Fungible Tokens) and earn CAEX tokens. Companies can then purchase access to these models using CAEX tokens, directly compensating the engineers. This system fosters a transparent and efficient exchange of value, eliminating intermediaries and promoting innovation.

What is the Similarity State Tensor (SST)?

The SST is a crucial component of CAEBloX's mining difficulty mechanism. It evaluates the uniqueness of submitted CAE models. Novel contributions achieve a lower mining difficulty, making it easier for innovators and engineers to earn more CAEX tokens. Conversely, redundant uploads face higher difficulty, ensuring the network prioritizes high-quality and original datases.

CAEBloX employs a rigorous verification process for submitted models. Each model undergoes a Proof of Design (PoD) check by a Validator, which utilizes the SST to assess its uniqueness. Only models deemed original are tokenized as NFTs and added to the marketplace, guaranteeing the authenticity and value of the data.

Federated Learning allows companies to train AI models on valuable CAE data without directly accessing or moving the raw data. This "privacy-first" approach is essential for industries with strict data security requirements. CAEBloX sends machine learning algorithms to where the data resides, allowing them to learn locally without compromising data privacy or intellectual property rights.