Research and development are considered to be fundamental to empowering individuals globally through World Network.
That’s why Modulus Labs is officially joining World contributor Tools for Humanity (TFH) to establish a new Applied Research team dedicated to supporting cryptographic and machine learning solutions “that are practical, scalable and secure.”
The TFH and Modulus journey began in the spring of 2023 when the organizations began collaborating on “crucial projects” to enhance the security and “scalability” of World Network.
Since that time, the Modulus team has reportedly been instrumental in developing zero-knowledge (ZK) prover solutions “custom-tailored for machine learning applications.”
This tech plays a vital role in transforming millions of mobile devices into trusted environments that “authenticate computations while preserving user data privacy and individual anonymity.”
The developers have deployed a zero-knowledge data commitment scheme to thousands of Orbs, giving millions of individuals “private custody of their human verification data while supporting future authentications.”
The devs has created a “heavily” optimized security library for World App that generates verifiable AI authentications in “mere minutes for individuals across the globe.”
The team has developed the mobile features that help people generate secret shares of signatures, providing a “perfectly secret end-to-end pipeline for a user-centric uniqueness check in conjunction with World’s AMPC protocol.”
As part of TFH, Modulus will become the new Applied Research team, expanding the organization’s focus into areas where “cryptography intersects with machine learning to play a pivotal role in building the world’s largest financial and identity network.”
The Modulus team brings expertise in zero-knowledge cryptography and its application to mobile and AI-driven environments—key areas that “align with our ambition to scale the World network securely and efficiently.”
Modulus Labs was founded in 2022 by Stanford graduates Daniel Shorr and Ryan Cao, who were inspired by the growth of generative AI to develop new accountability tools for the “expanding capabilities of artificial intelligence.”
Modulus created a standard for verifiable AI security that also “protected user privacy.”
This was achieved through the application of specialized “techniques in zero knowledge cryptography to machine learning operations.”
Modulus created the world’s verifiable AI projects, including the world’s verifiable AI games and authenticated AI art. Modulus Labs also became the first team to prove “a multi-billion parameter Large Language Model (LLM) in zero knowledge.”
TFH is pleased to be welcoming Daniel and Ryan, as well as Giorgos Zirdelis, Ben Wilson, Vishruti Ganesh, Ende Shen, and Makis Arsenis to the team.
And with Modulus now part of TFH, the team is equipped to build out the next generation of verifiable, decentralized applications “that deliver security, privacy, and accessibility at unprecedented scale.”
TFH is committed to delivering innovative products as well as “advancing the state of cryptographic research that underpins them.”
The expertise and accomplishments of the Modulus team make them an ideal partner as TFH takes on some of the “most significant challenges” in scaling and securing decentralized systems.
TFH, which is now inclusive of the Modulus team, is positioned to drive innovations in cryptography that will now aim to “redefine the possibilities of decentralized technologies for billions of people worldwide.”