Polyhedra Network (ZKJ) Successfully Completes zkPyTorch Lecture at DGIST… Workshop Continues in Beijing on the 16th

Polyhedra Network (ZKJ), which is developing zero-knowledge proof-based artificial intelligence (AI) technology, announced on the 16th that it successfully completed a lecture on zkPyTorch at Daegu Gyeongbuk Institute of Science and Technology (DGIST) on the 14th.

The lecture featured Tiancheng Xie, a Ph.D. from UC Berkeley and an expert in the field of zkML (Zero-Knowledge Machine Learning), who introduced the technical structure and application potential of 'zkPyTorch', a hierarchical optimization compiler for efficiently executing machine learning models in a ZK environment. This system divides model operations into multiple stages and converts each stage into a format optimized for zero-knowledge proof operations.

The event discussed the role of zkML in ensuring data privacy and enhancing verifiability, as well as the technical advantages of zkPyTorch in improving the reliability and security of AI systems.

This research trend continues with the 'Polyhedra Workshop' held at Peking University in China on the 16th. The workshop is co-hosted by 'PKU Blockchain' and WTF Academy, and active participation from blockchain and AI researchers and developers worldwide is expected.

Additionally, Xie is scheduled to give a lecture on zkML and Verifiable AI at the Ethereum Beijing (ETH Beijing) hackathon, focusing on the technical prospects and practical application cases of zkPyTorch.

Polyhedra stated, "We are continuously expanding our technology into the Verifiable AI domain centered on zkML, and we will accelerate the practical application of our research achievements."

For more information, visit the official Polyhedra X (formerly Twitter) account and the Luma page.