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Humanode: Updated facial expression model, Consensus circular visualization, An introduction to Fath monetary algorithm, Vortex overview, Fireside discussion on biometric ownership, Humanode 101 video on crypto-biometrics, and more!

Biweekly update vol. 2, 9th July — 23rd July

TL;DR

Welcome, all crypto fans and techy enthusiasts, to our second biweekly report on Humanode, decentralized private biometrically encrypted consensus mechanism, and monetary system!

Currently, the Humanode teams are operating extremely hard on the major tasks. As part of the development update, they’ve shared what they’ve been working on over the past two weeks. As for the network development, the team enabled logging at biometric processing server, added TLS certificates to docker image to solve the biometric processing node deployment, ran bio-authentication flow at the node, reused the runtime at bioauth RPC instead of creating a new one, made StoredAuthTickets non-optional and default-initialized, and continued implementing test environment. Considering crypto-biometric search and matching and liveness algorithms, the dev team added the SGDT model for single frame FAS, replaced ReLU by ReLUApprox in Resnet.py, modified the template for relu approximation and the pose estimation part, as well as updated the facial expression module. The work on consensus continues. Over this time, the team added labels to nodes and no-answering attack mitigation, fixed bugs in Slowflake, experimented with graphics and widgets, and added fancy circular visualization (check it out in our report).

Last week, the seventh ‘Humanode Fireside’ took place. The team was talking about biometric ownership and everything related to it. Listen to this and all previous episodes on the Humanode Podcast. Next Wednesday the team is going to discuss the use of biometrics for DeFi. Join them in the Telegram voice chat!

On top of that, Humanode’s latest blog post discusses Fath. Humanode’s vision is to create a stable and just financial system that relies on the existence of human life itself, and Fath will work as the monetary algorithm for it to happen. Fath takes its name from the term Fathom, which means a deep understanding of why something is happening after much thought and summarizes properly how the process was to get here. It establishes two principles — proportional distribution and rebalancing. To better understand these principles, take a deeper look at each of them and why they exist in the blog.

As many of you know, the Humanode team is using biometrics to enable Sybil resistance. This technology ensures fair distribution of power and governance in distributed systems like blockchains. Read more about biometric types, modalities, pros & cons, examples in use, and privacy considerations in the freshly-published article in the Humanode blog. Furthermore, the team recently overviewed Humanode DAO named Vortex, and how Humanode governance will be decentralized from the start. Vortex is based on 1 human = 1 node = 1 vote, no matter how much money or power a person has, his vote only has equal power to his peers. Check out the publication for more details.

Moreover, Shannon Higgins, Humanode Core member, has just recorded a new episode of ‘Humanode in Simple Terms’ video series. In this episode, he goes over the basic concept of crypto-biometrics, and what it means to privacy and security of bio-authentication. A must-watch!

That’s all for today! Have a great weekend!

Development

Humanode Dev Report 2

  • Humanode Network

🔺 Enabled logging at biometric processing server

🔺 Added TLS certificates to docker image to solve the biometric processing node deployment

🔺Ran bio-authentication flow at the node

🔺Reused the runtime at bioauth RPC instead of creating a new one

🔺Made StoredAuthTickets non-optional and default-initialized

🔺Continued implementing test environment

  • Crypto-biometric search and matching and liveness algorithms

🔺Added the SGDT model for single frame FAS

🔺Replaced ReLU by ReLUApprox in Resnet.py

🔺Modified template for relu approximation

🔺Modified the pose estimation part

🔺Updated facial expression module

  • Humanode consensus protocol

🔺Added labels to nodes

🔺Added no-answering attack mitigation

🔺Fixed bugs in Slowflake; progress on not-answering attack

🔺Experimented with graphics and widgets

🔺Added circular visualization, here is a sample of how it looks:

Awareness & Events

Humanode 101

Humanode in Simple Terms: Crypto-Biometrics: In this episode of Humanode in Simple Terms, Shannon Higgins — Humanode Core member — goes over the basic concept of crypto-biometrics, and what it means to privacy and security of bio-authentication.

Watch previous Humanode 101 videos on YouTube here or listen to the Humanode Podcast here.

Humanode Fireside

The seventh Humanode Fireside took place last week. The team was talking about biometric ownership and everything related to it.

As usual, there was a live talk between the team members first, and then a conversation with the community.

ICYMI: The sixth Humanode Fireside conversation was fully devoted to crypto-biometrics.

Listen to previous Humanode Fireside episodes on YouTube here or on the Humanode Podcast here.

Join the team for a fireside chat every odd Wednesday at 16:00 UTC in the Humanode Telegram group’s voice chat. Next Wednesday they’re going to discuss the use of biometrics for DeFi. Get in here:

Latest publications

Fath: A monetary system to mitigate currency devaluation and deflation

Humanode’s vision is to create a stable and just financial system that relies on the existence of human life itself, one human = one node. And Fath will work as the monetary algorithm for it to happen.

Fath takes its name from the term Fathom, which means a deep understanding of why something is happening after much thought and summarizes properly how the process was to get here.

Fath monetary system establishes two principles:

  1. Proportional Distribution: Any emission should be proportionally and directly delivered to each currency holder without distinction of role;
  2. Rebalancing: Monetary base should be rebalanced according to the amount of value created in the system.

To better understand these principles, take a deeper look at each of them and why they exist here:

Biometrics, an overview

The Humanode team is using biometrics to enable Sybil resistance. This technology will ensure fair distribution of power and governance in distributed systems like blockchains. Read more about biometrics types, modalities, pros & cons, examples in use, and privacy considerations in the freshly-published article in the Humanode official blog:

Vortex, an overview

In the recent blog post, the team overviews Humanode DAO named Vortex, and how Humanode governance will be decentralized from the start. Vortex is based on 1 human = 1 node = 1 vote, no matter how much money or power a person has, his vote only has equal power to his peers. Tap here for more details:

  • Take the quiz after reading the article! See how well you score.
  • Play the *Humanode DAO* Gitcoin Quest and win a *Pride Bot* Kudos. This quest is about the governance of Humanode, where 1 human = 1 node = 1 vote!

MISC

InFath or OutFath? Homomorphic encryption? Liveness detection? If those sound confusing to you, don’t worry. The Humanode team made a list of all these terms for easy reference:

Subscribe to Paradigm!

Medium. Twitter. Telegram. Telegram Chat. Reddit. LinkedIn.

For more information check out Humanode’s:

Website

Telegram ANN

Telegram Chat

Twitter

Reddit

GitHub

Youtube

LinkedIn

Humanode Podcast

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Paradigm is an ecosystem that incorporates a venture fund, a research agency and an accelerator focused on crypto, DLT, neuroscience, space technologies, robotics, and biometrics — technologies that combined together will alter how we perceive reality.

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