Why zkML? Because @nvidia and @Samsung are building an AI megafactory — 50,000+ GPUs coordinating chip production, robotics, and industrial workflows.
When factories begin reasoning, not just executing, the key question becomes:
How do we verify the decisions machines make?
2/
AI-driven manufacturing doesn’t just automate tasks — it selects strategies.
It allocates materials.
It prioritizes workflows.
It defines what counts as acceptable output.
When production is guided by reasoning, that reasoning must be verifiable.
3/
zkML enables verifiable industrial intelligence:
-Proof the model followed its declared decision logic.
-Proof no hidden heuristics influenced outcomes.
-No exposure of proprietary workflows or architectures.
4/
Imagine manufacturing where:
✅Every optimization step includes a cryptographic execution trace.
✅Compliance can be confirmed without inspecting internal process models.
✅ Supply chains coordinate using shared proofs.
zkML turns automation into auditable coordination.
5/
Industrial AI will govern supply chains, infrastructure, and physical outputs.
It needs verification at the decision layer — not trust in the black box.
That’s what @PolyhedraZK is building: zkML as the verification layer for autonomous systems.
1,440
0
本页面内容由第三方提供。除非另有说明，欧易不是所引用文章的作者，也不对此类材料主张任何版权。该内容仅供参考，并不代表欧易观点，不作为任何形式的认可，也不应被视为投资建议或购买或出售数字资产的招揽。在使用生成式人工智能提供摘要或其他信息的情况下，此类人工智能生成的内容可能不准确或不一致。请阅读链接文章，了解更多详情和信息。欧易不对第三方网站上的内容负责。包含稳定币、NFTs 等在内的数字资产涉及较高程度的风险，其价值可能会产生较大波动。请根据自身财务状况，仔细考虑交易或持有数字资产是否适合您。