I would say at the proof system level, Plonky 2 and Halo 2 are pretty close in adaptation to machine learning. I think these proof systems that are more tailor made to operations like matrix multiplication are going to make a resurgence. It does make me think that there might be a like coming down the pipeline, some sort of Halo 2 equivalent that is maybe built more with this more in mind. And so we're talking with a lot of smart contract application teams about their on chain needs.
This week, Anna Rose and Tarun Chitra dive back into the topic of ZK ML with guests Yi Sun, co-founder of Axiom, and Daniel Kang, Assistant Professor of computer science at UIUC. They discuss Yi and Daniel’s previous academic work and what led them to get interested in ZK topics and specifically ZK ML. They then dive into a discussion about 2 recent papers which examine the use of ZK within Machine Learning architectures.
Here are some additional links for this episode:
Apply for ZK Hack Lisbon here: ZK Hack application
Aleo is a new Layer-1 blockchain that achieves the programmability of Ethereum, the privacy of Zcash, and the scalability of a rollup.
Interested in building private applications? Check out Aleo’s programming language called Leo by visiting http://developer.aleo.org.
You can also participate in Aleo’s incentivized testnet3 by downloading and running a snarkOS node. No sign-up is necessary to participate.
For questions, join their Discord at aleo.org/discord.
If you like what we do: