As AI accelerates in critical fields like healthcare and finance, 'trustworthiness' has become its biggest shortcoming.
@Lagrange Official The collaboration with Intel precisely fills this gap—Intel's hardware advantages (such as Tiber AI Cloud and chip-level optimizations) have dramatically increased DeepProve's verification speed, bringing zkML technology from the lab to real-time scenarios.
This not only means that fields like high-frequency trading and autonomous driving can utilize 'verifiable AI', but it may also rewrite industry rules: in the future, AI must not only be powerful but also be able to mathematically prove its reliability.
The synergy between software and hardware will foster new hardware for secure computing, allowing for more reliable cross-domain collaboration, ensuring data is not leaked, and results can be verified.
For regulators, this is a ready-made compliance tool that provides technical support for AI governance. This collaboration is driving AI from 'blind trust' to 'provable safety', reshaping the logic of industry development.