Many teams focus on a specific application scenario during development. But some projects take an unconventional path—they choose a more challenging full-stack solution. Real-time Ethereum proof, zero-knowledge machine learning, on-chain historical data analysis, reward distribution mechanisms, privacy protection authentication… all these features are already running in production environments. What is the result of this approach? Over 130 million+ zero-knowledge proofs have been generated. This multi-dimensional, multi-application scenario technological implementation is continuously pushing the boundaries of on-chain privacy and verifiable computation.
قد تحتوي هذه الصفحة على محتوى من جهات خارجية، يتم تقديمه لأغراض إعلامية فقط (وليس كإقرارات/ضمانات)، ولا ينبغي اعتباره موافقة على آرائه من قبل Gate، ولا بمثابة نصيحة مالية أو مهنية. انظر إلى إخلاء المسؤولية للحصول على التفاصيل.
Many teams focus on a specific application scenario during development. But some projects take an unconventional path—they choose a more challenging full-stack solution. Real-time Ethereum proof, zero-knowledge machine learning, on-chain historical data analysis, reward distribution mechanisms, privacy protection authentication… all these features are already running in production environments. What is the result of this approach? Over 130 million+ zero-knowledge proofs have been generated. This multi-dimensional, multi-application scenario technological implementation is continuously pushing the boundaries of on-chain privacy and verifiable computation.