In fact, in the AI track, everyone is talking and discussing, but ultimately within the circle, it’s all about issuing tokens and speculation; how many people really take the time to think about why AI is a hot topic? What exactly can AI do? Are the use cases of AI in blockchain meaningful?
Today, I will introduce Fully Homomorphic Encryption — FHE (Mind Network)
Mind Network is a Web3 infrastructure project based on Fully Homomorphic Encryption (FHE), focusing on providing end-to-end data privacy protection and secure computing solutions for AI, blockchain, and decentralized applications.
In simple terms, it's the infrastructure for AI, primarily focusing on encryption and security.
What can fully homomorphic encryption AI actually do?
1/ Protecting transaction privacy
Complete transactions on-chain, but others cannot see the specific details of your transactions, which not only protects your privacy but also prevents security incidents and attacks, providing a layer of protection for the current on-chain environment.
2/ Secure AI training
Federated Homomorphic Encryption (FHE) technology can be used to train AI models, achieving training objectives while ensuring the privacy of the training logic.
3/ In the field of medical collaboration
Imagine if medical collaboration becomes privatized and secure, allowing hospitals to share case data while effectively protecting patient privacy, which would greatly promote information sharing and development in the healthcare industry.
4/ Privacy lending protocols
When there is no need to disclose the lender and borrower information, but can match lending orders, both parties do not need to be seen by others, enabling better encryption for the crypto industry.
5/ Private prediction markets are not required
When group voting can ensure data cannot be manipulated or biased by group tendencies, it resolves issues in game theory and achieves true voting fairness.
So, what are the advantages of FHE?
1/ Privacy and security
FHE technology ensures data is encrypted throughout, addressing the core issues of Web2 and Web3. A zero-trust architecture ('never trust, always verify') enhances data security, suitable for highly regulated scenarios.
2/ High performance
By optimizing storage calling algorithms, Mind Network provides an experience 100 times faster than traditional data ledgers, while being cheaper than cloud service providers. It ensures privacy protection without sacrificing user experience.
3/ Application scenarios
Supports AI privacy computing, decentralized governance, secure cross-chain transmission, gaming, and DePin among other fields, covering multiple high-growth tracks in Web3.
Mind Network provides a secure and efficient privacy protection infrastructure for Web3 through fully homomorphic encryption technology, addressing industry pain points related to data privacy and computational security. Its core advantages lie in quantum-resistant FHE technology, zero-trust architecture, high-performance computing, and diverse application scenarios.
#MindNetwork全同态加密FHE重塑AI未来
