Jason Morton

Jason Morton is the founder of EZKL, an open-source system for proving machine-learning inference with zero-knowledge proofs. His research and teaching focus on zkML, making model execution verifiable without exposing sensitive inputs, and giving developers practical tools for building proof-backed AI applications.

13 talks by Jason Morton

• Reimagining money with zero-knowledge proofs - Jason Morton
• ZK Whiteboard Sessions - S3M8: ZKML, w/ Jason Morton
• zkml
• Why We Need Zero-Knowledge Machine Learning
• How and Why to Build a ZK-Based System w/ Jason Morton (ezkl)
• ZK10: ZKML with EZKL: Where we are and the future - Jason Morton
• ZK Paris: Jason Morton - Zero Knowledge Machine Learning
• What Is Unlocked by Practical Zero-Knowledge Proofs
• (ZKML Panel): Accountability & Integrity in AI (via ZKML)
• Zero Knowledge Machine Learning 101: Under the Hood
• Deploy your own on-chain zkml models with ezkl
• How to build and deploy on-chain AI/ML with zero-knowledge machine learning with Jason Morton
• Zero Knowledge Machine Learning