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@@ -171,7 +171,7 @@ Zero-Knowledge Proofs for Machine Learning (zk-ML) were impractical until 2023
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Three recent developments changed this equation:
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**Next-generation ZK frameworks**: Jolt [11] and RISC Zero v1.0[12] drastically reduced proof generation overhead for generic computation, including ML inference. What once took hours now takes minutes. What took minutes is converging to seconds with ongoing software optimizations.
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**Next-generation ZK frameworks**: Jolt [11] and RISC Zero v0.4[12] drastically reduced proof generation overhead for generic computation, including ML inference. What once took hours now takes minutes. What took minutes is converging to seconds with ongoing software optimizations.
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**Dedicated ZK hardware**: The first generation of ASICs and FPGAs optimized for ZK proof generation is beginning to reach market. Companies like Ingonyama and others are developing hardware that can accelerate proof generation by 10–100x relative to current CPU/GPU implementations.
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