Research articles and findings from Univault Research Lab
March 14, 2026
•Philip Phuong Tran
The SDK is on npm. The template is on GitHub. The API has been running for weeks. Seven nodes are live across three regions. Here is how to build your first app on the ParagonDAO network — and why this is not a blockchain.
March 13, 2026
•Philip Phuong Tran
We built a system that predicts toxic dust storms 5.7 days in advance using free public data. Then we realized the same architecture generalizes to any oscillating signal on Earth.
March 7, 2026
•Philip Phuong Tran
Every attempt to build a decentralized health network has failed for the same reason: health data is too large. The General Learning Encoder compresses any biosignal into exactly 512 bytes — making the entire planet's health fingerprint fit on a single hard drive. Three nodes are running today, validating health data every 60 seconds. This is what changes.
March 1, 2026
•Philip Phuong Tran
On January 6, 2026, FDA Commissioner Marty Makary said: 'If their device or software is simply providing information, they can do that without FDA regulation.' That one sentence opens the door for a generation of biosignal wellness apps. A three-role AI evaluation panel deliberated on the GLE builder opportunity space, then we ran each app through SoundbiteTesting simulation. Here is what the evaluation found.
February 27, 2026
•Philip Phuong Tran
The hardest problem in biosignal AI — making models that work on people they have never seen — has a working solution. Our GLE encoder improved over 13x more than the next best team among over a thousand competitors at the NeurIPS 2025 EEG Foundation Model Challenge. Today we launch the ParagonDAO Verification Network: the first production feature that lets anyone verify any model's claims, in real time. Verified models reach patients faster. Faster means lives saved.
February 26, 2026
•Philip Phuong Tran
The investment community and partners challenge us on why a health AI model verification network needs thousands of builders — why not just train every model ourselves? The answer reveals why the health economy must be a network, and why this architecture delivers more stable, compounding returns than the monopoly play.
February 4, 2025
•Univault Technologies Research
An exploration of how nature computes through continuous optimization, laying the groundwork for a new paradigm in computational science that bridges natural processes with modern computing methods.
December 26, 2024
•Univault Technologies Research
A journey through history's most transformative proofs, from Galileo's planetary motion to Watt's steam engine, leading to our mathematical validation of O(1) wave-based computation.
December 11, 2024
•Univault Technologies Research
A lesson designed to guide students from everyday intuition to the mathematical formulation of convex optimization, emphasizing clear reasoning and real-world applications.
December 10, 2024
•Philip Tran & Univault Technologies Research
Discover how nature's way of parallel processing is revolutionizing computing, making the impossible possible through wave-based computation.
December 10, 2024
•Univault Technologies Research Team
From the binary switches in your smartphone to the endless ripples in a pond, explore how information storage shapes our computing future.
September 27, 2024
•Univault Technologies
As personal AI assistants become more sophisticated, they require efficient ways to transfer large amounts of data. The Satellite Relay Package Transfer Protocol (SRPT) introduces a revolutionary approach to data transfer, leveraging satellite technology to enable faster, more secure, and decentralized communication for the next generation of AI applications.
February 9, 2024
•Univault Technologies
Introducing a revolutionary computing approach that achieves quantum-like performance at room temperature through wave interference patterns.