Analysis
This article explores the fascinating intersection of AI and mathematical proof, tackling the challenge of verifying the correctness of AI calculations. It introduces the concept of using neural networks over finite fields, a key element in technologies like ZKML and FHE, opening up new possibilities for verifiable AI.
Key Takeaways
- •The article discusses how to mathematically prove the correctness of AI calculations, which is crucial for trust and regulation.
- •It explains the use of neural networks over finite fields as a core technique in ZKML and FHE.
- •This approach can address issues like AI bias and the need for verifiable AI in various applications.
Reference / Citation
View Original"で、その証明を数学的にやる技術がある。それが ZKML と FHE なんだけど、両方とも核心にある数学は同じ。ニューラルネットワークを有限体の上で動かすってこと。"
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