not approved

State-of-mind-as-a-service (SoMaaS)

₳420,000.00 Requested
Ideascale logo View on ideascale
Community Review Results (1 reviewers)
Feasibility
Value for money
Impact / Alignment
Solution

Using neuroscience, state-of-mind-as-a-service for use cases and everyday life, suitable for web3 use, e.g. authentication. Development of key algorithms and integration with hardware EEG headset.

Problem:

Apps by their nature seek to address user needs. Much of app design is guesswork on end-user needs. Direct quantitative insight into users' psychology is missing.

Yes Votes:
₳ 11,000,281
No Votes:
₳ 173,219,770
Votes Cast:
263

[IMPACT] Please describe your proposed solution.

The future of web3 will entail direct interaction with biometrics, especially in the age of AI, where proof of humanness is essential. The brain is the most complex organ and is arguably the signature of humanness. This project aims to do necessary R&D on the brain to allow it to merge with web3 <u>in a way that can be turned into a product</u>.

<u>Neuralprint is a broader project, and this proposal specifically is for the foundational work required to create a SoMaaS toward product form.</u> The bottom of this section details the kinds of datasets that are anticipated to be analysed for establishing key SoMaaS functionalities. Below is information about Neuralprint, as a broader project, which has undergone initial R&D on general *authentication <u> </u>*of a user and is patent-pending. Risk mitigation strategies are found at the endof this section.

This proposals comes on the heels of three previous successful and closed-out Catalyst proposals (1 in F7, 2 in F8), all executed by the proposer. The present proposal builds upon previous work.

NP—Logo-and-Banner-Assets_twitter-banner-copy-5-9dd93b.png

Neuralprint

Next Generation Biometric Identity, Authentication, Permissioning, And Security

&lt;&lt; Neuralprint technology is Patent-pending >>

Company Purpose:

  • To Revolutionize Identity, Authentication And Security Using State Of Mind Technology (Static vs. Dynamic).
  • Bringing The Mind To The Forefront Of Engaging With Technology.

The Problem:

Security Solutions Today Are Expensive, Clunky, Hard To Implement, And Aren’t As Secure As Advertised. They Also Suffer From A Lack Of Nuance.

The Solution:

Neuralprint’s System Is Unique, Fast, Easily Measurable, Inexpensive, And Easy To Install

Why Now?

Existing Systems Aren’t As Secure As Advertised. Ours Is. Static Today; Dynamic Learning System Tomorrow That Enables Greater Functionality.

Market Size:

The Global Cyber Security Market (TAM) Is $249 Billion.

By 2027, 50% of large enterprise CISOs will adopt human-centric security design practices. Cybersecurity threats are changing.

Product:

Neuralprint Is A Brain Wave Reader System. Slim form-factor EEG interface + Cloud Data. (Patent-pending)

Team:

  • Dr. Gabriel Axel Montes: CEO, Founder. SingularityNET. Neuroscientist, Consciousness expert. Ethical AI. History of successful Cardano Catalyst engagement.
  • David Harding: Advisor. CTO, SVP Engineering, Renown Security, Identity, Cloud Expert. Private Equity.
  • Dan Mapes, PhD: Advisor. Co-designer of the Spatial Wb IEEE Protocol. President, VERSES.ai & The Spatial Web Foundation.
  • Edward Brennan: founding CFo & Advisor. Venture Capitalist, Board Member, Advisor to Several StartX & Y-Combinator Companies.

Anticipated R&D areas for determining the neural correlates of states of mind relevant to SoMaaS:

  • Monitoring attention to auditory stimuli, such as music and speech.
  • Investigating the cognitive mental load experienced during various tasks.
  • Exploring the neural processes associated with operating under a state of fear.
  • Distinguishing between movement that is synchronized and non-synchronized with ambient stimuli in the environment.
  • Analyzing responses to key design elements ("primitives") used in branding and advertising within the field of ad-tech.
  • Identifying the emotions experienced during music listening, distinguishing between familiar and unfamiliar auditory stimuli, and distinguishing music categories/genres.
  • Studying the neural patterns and characteristics during different stages of sleep.
  • Examining the neural signatures associated with heightened non-ordinary states of consciousness, specifically using EEG data from DMT psychedelic trips as a benchmark.

<u>Risk mitigation</u>:

  • Risk (1): Immediate hiring need. Our team is actively searching for a machine learning now. Due to global demand for AI talent and in order to attract suitable talent in a timely manner, we are offering (in the budget) an above-average salary. This will also help to increase the chances of keeping a strong engineer beyond the scope of this proposal.

  • Risk (2): Challenges in appropriate marketing reach.

  • We have budgeted for a social media in this proposal in order to begin building toward this goal from the beginning.

  • The proposer is a veteran member of and leader in the SingularityNET ecosystem, which has multiple projects with existing and expanding user bases that could be marketed to and leveraged.

  • Risk (3): EEG brainwave biometric development, like much of any hardware development, can take time, typically more than software development. To mitigate, the proposed project is focusing primarily and largely on already available (collected) datasets, which removes the logistics barrier associated with recruiting participants, etc.

    [IMPACT] How does your proposed solution address the challenge and what benefits will this bring to the Cardano ecosystem?

SoMaaS will be the next frontier of most everyday user apps, and crypto will be involved in much of it. This is a cutting-edge, first of its kind, project – and it is being developed for Cardano.

The proposed project brings a novel technology to Cardano, making Cardano a first-mover chain in the space. This proposal poises Cardano to be used in a key technology in the world. It also builds on and adds functionality to existing products (successful, closed-out proposals from F7, F8).

This proposal thereby fulfills criteria of the Challenge, including the following metrics:

  • Increasing the number products available for the community to use that help to enrich the ecosystem with new use cases.

  • Increase the number of integrations that bring existing solutions together for a more seamless and connected experience between different products.

  • Increased quality of existing products & integrations through improvements and new functionality.

    [IMPACT] How do you intend to measure the success of your project?

The success of the project will be determined by completed work on brain and biometric functions and use-cases, getting LOI's with early partners, and by compatibility/integration with EEG biometric hardware.

[IMPACT] Please describe your plans to share the outputs and results of your project?

This project will be shared at a high-level on social media and through follow-on fundraising, and sensitive aspects will not. High-level social media / marketing will be conducted to share key happenings.

[CAPABILITY/ FEASIBILITY] What is your capability to deliver your project with high levels of trust and accountability?

Evidenced by the proposer's handful of past successful and closed out Catalyst proposals, future performance can be expected.

[CAPABILITY/ FEASIBILITY] What are the main goals for the project and how will you validate if your approach is feasible?

Feasibility has been confirmed. The goals are to complete technical work enables SoMaaS of key use-case activities of users. This will later allow these to be codified on the blockchain.

[CAPABILITY/ FEASIBILITY] Please provide a detailed breakdown of your project’s milestones and each of the main tasks or activities to reach the milestone plus the expected timeline for the delivery.

Month 1:

Survey of key brain/biometric states of interest

Month 2:

Transpose larger multi-electrode EEG datasets into slim form-factor EEG interface of fewer electrodes

Technical work on first 25% of data sets

Month 3:

Technical work on second 25% of data sets

Transpose larger multi-electrode EEG datasets into slim form-factor EEG interface of fewer electrodes (cont'd)

Month 4:

Technical work on third 25% of data sets

Transpose larger multi-electrode EEG datasets into slim form-factor EEG interface of fewer electrodes (cont'd)

Month 5:

Technical work on fourth 25% of data sets

Transpose larger multi-electrode EEG datasets into slim form-factor EEG interface of fewer electrodes (cont'd)

Month 6:

Technical work completed

[CAPABILITY/ FEASIBILITY] Please describe the deliverables, outputs and intended outcomes of each milestone.

Brief progress report and high-level social media sharing about progress on the milestones:

Month 1:

Survey of key brain/biometric states of interest

Month 2:

Transpose larger multi-electrode EEG datasets into slim form-factor EEG interface of fewer electrodes

Technical work on first 25% of data sets

Month 3:

Technical work on second 25% of data sets

Transpose larger multi-electrode EEG datasets into slim form-factor EEG interface of fewer electrodes (cont'd)

Month 4:

Technical work on third 25% of data sets

Transpose larger multi-electrode EEG datasets into slim form-factor EEG interface of fewer electrodes (cont'd)

Month 5:

Technical work on fourth 25% of data sets

Transpose larger multi-electrode EEG datasets into slim form-factor EEG interface of fewer electrodes (cont'd)

Month 6:

Technical work completed

[RESOURCES & VALUE FOR MONEY] Please provide a detailed budget breakdown of the proposed work and resources.

R&D and Project Management: $42,000 ($7,000 x 6 months)

Engineering: $50,400 ($8,400 x 6 months)

Biometrics hardware: $14,400 (1x slim form-factor EEG headset)

Social media / Marketing: $10,200 ($1,700 x 6 months)

Total: $117,000

An exchange rate of $0.28/ADA (reflecting the rate at the time of this writing) has been used for budget calculation.

[RESOURCES & VALUE FOR MONEY] Who is in the project team and what are their roles?

Dr. Gabriel Axel Montes, Ph.D.

Neuroscientist, SingularityNET (Cardano partner) pedigree; founding extended team, Head of People, Music Co-Director and guitarist for in-house touring band with humanoid robot vocalist.

Formerly, VERSES Director of Communications and researcher, building the Spatial Web (realistic metaverse).

Will serve as the project creator, leader, and director, and delegating tasks for execution. Gabriel has a team who all together has track record of delivering on past Catalyst proposals.

Advisors:

  • David Harding: Advisor. CTO, SVP Engineering, Renown Security, Identity, Cloud Expert. Private Equity.

  • Dan Mapes, PhD: Advisor. Co-designer of the Spatial Wb IEEE Protocol. President, VERSES.ai & The Spatial Web Foundation.

  • Edward Brennan: founding CFo & Advisor. Venture Capitalist, Board Member, Advisor to Several StartX & Y-Combinator Companies.

    [RESOURCES & VALUE FOR MONEY] How does the cost of the project represent value for money for the Cardano ecosystem?

All costs will be commensurate to majority of wages and capital required to execute. Due to the high value-add scientific and engineering work required of the proposal, costs are above average in order to rapidly secure the human resource talent and equipment needed to conduct the work.

Avis des conseillers communautaires (1)

Comments

close

Playlist

  • EP2: epoch_length

    Authored by: Darlington Kofa

    3 min 24 s
    Darlington Kofa
  • EP1: 'd' parameter

    Authored by: Darlington Kofa

    4 min 3 s
    Darlington Kofa
  • EP3: key_deposit

    Authored by: Darlington Kofa

    3 min 48 s
    Darlington Kofa
  • EP4: epoch_no

    Authored by: Darlington Kofa

    2 min 16 s
    Darlington Kofa
  • EP5: max_block_size

    Authored by: Darlington Kofa

    3 min 14 s
    Darlington Kofa
  • EP6: pool_deposit

    Authored by: Darlington Kofa

    3 min 19 s
    Darlington Kofa
  • EP7: max_tx_size

    Authored by: Darlington Kofa

    4 min 59 s
    Darlington Kofa
0:00
/
~0:00