ZK9: Scaling Trustless DNN Inference with ZK-SNARKs to GPT, ResNet, and more – Daniel Kang (UIUC)

(26:9)

ZK9: Lurk: Lambda the Ultimate Recursive Knowledge - François Garillot (Protocol|Lurk Labs)

(30:12)

ZK9: zkTree a zk recursion tree with ZKP membership proofs – Sai Deng (Polymer Labs)

(11:32)

Axiom: The first ZK coprocessor scaling data-rich applications on Ethereum - Yi Sun

(12:4)

ZK9: Taiga - a dark forest for composable private applications - Yulia Khalniyazova (Anoma)

(24:33)

ZK9: Exploring client-side zero-knowledge proofs - Dan Tehrani (Personae Labs)

(30:58)

ZK Paris: Panel on Scaling with Tracy, Zac W, grjte, Marcello B, and Toghrul

(25:49)

Scaling up Trustless Neural Network Inference with Zero Knowledge Proofs

(13:19)

ZK9: AirScript - a simple and efficient way to write AIR constraints - grjte (Polygon Miden)

(25:7)

ZK9: Hardware Acceleration \u0026 ZK Panel - Hosted by Alex Pruden (Aleo)

(51:59)

ZK9: Bridging blockchains Foreign field arithmetics – Anaïs Querol and Joseph Spadavecchia

(25:22)

Scaling Trustless DNN Inference with zkml - Daniel Kang

(55:52)

ZK9: Optimizing the MINA prover with learnings from zPrize top performers -Jiannan Ouyang (Snarkify)

(16:48)

ZK9: Adding reflection to the EVM with Axiom – Yi Sun (Axiom)

(23:22)

Could This Small Tool Be The Future Of Knife Cutting Performance?

(9:38)

ZK9: The Red Wedding: Marrying DEEP-AIR + PLONK – Ferdinand Sauer \u0026 Alan Szepieniec (Neptune/Triton)

(24:)

Scaling settlements with zkSNARKs - Alex Vlasov (Matter Labs)

(21:30)

Daniel Kang, Scaling Zero Knowledge Proofs to ImageNet Scale Models

(17:4)

ZK9: Future ZK Emerging Use Cases and Key Enablers – Brian Retford (RISC Zero)

(30:32)