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Research about Computational Efficiency of AI Models on the Polkadot Blockchain + Workshops

inSmall Spender
4 months ago
edu
latam
BeneficiaryBeneficiary:

(16.95K USDT)

Hello, Polakdot Family. You may remember us, at the beginning of the year we launched an educational proposal that received rich feedback from the entire Polakdot community in its different media.

Since then we have continued exploring the ecosystem and we have spoken with actors in the ecosystem to improve and pivot our initiative and now we have embodied it as a professional research, with an allied research center and 2 experts in technological development, and we have also added a factor that is in trend: Artificial intelligence.

📌 If you want to see the complete proposal in a document, with all the links and graphic material, visit this link: 

https://docs.google.com/document/d/1MikliyX_XDuipVsCQztzpTLl8PiupVvYII1rSMuvVYA/edit?tab=t.0

📌 If you want to see our past proposal, visit this link:

https://polkadot.polkassembly.io/post/2663

Context of the proposal

The Open Web Academy organization has carried out educational activities focused on the creation of new blockchain solutions that allow the ecosystem to grow.

Throughout the life of the organization, it has been noted for carrying out offline and in-person activities to increase blockchain software developers, through workshops, courses, hackathons and educational content. Open Web Academy has managed to incorporate more than 3K participants.

Open Web Academy is characterized by being a chain-agonistic organization, which has led us to experiment with protocols such as Ethereum, BNB Chain, ICP, Optimism, Arbitrum and Vara Network, as well as NEAR Protocol where we have had our greatest impact, generating educational plans directly for the NEAR foundation and the "NEAR Dev Hub" developer circle. Some of the most relevant activities that validate our methods are:

Our team sees Polkadot as the ideal platform to develop our blockchain solutions. We are attracted by its interoperability, scalability, and the flexibility that Substrate offers to create custom blockchains tailored to our needs. We also value its inclusive approach, which makes the process easier for us thanks to pre-configured tools, accessible documentation, and an active community willing to collaborate. With the support of initiatives such as Web3 Foundation Grants and the educational resources available, we feel that Polkadot allows us to innovate and develop projects at a lower cost and with greater efficiency.

At Open Web Academy, we are proud to have Mexican Collective (https://x.com/PolkadotMexico_) , Community on Polkadot, as a key ally. Together, we work to promote blockchain education and innovation, focusing on empowering individuals and organizations to leverage the potential of Polkadot's ecosystem.

Our team includes:

Our social networks

Problem statement

The growing demand for AI infrastructure requires robust, scalable, and secure systems, but many traditional solutions come with high costs, centralization risks, and vulnerabilities in data management. Blockchains offer a decentralized and transparent alternative for handling storage, processing, and data validation in AI, but not all chains are suitable for these tasks. Researching and comparing blockchains helps identify those with the best performance, interoperability, and sustainability, ensuring that AI infrastructure remains efficient, reliable, and resilient to failures or manipulation.

Activities proposal

  • Create a scientific paper about the performance of implementing AI on the Polkadot blockchain
  • Research and Literature Review
    • Review previous papers on AI in blockchain.
    • Research the architecture and capabilities of Polkadot.
    • Analyze existing benchmarks of AI on blockchains.
  • Defining the Theoretical Framework
    • Explain how AI functions in decentralized environments.
    • Describe Polkadot’s architecture and ecosystem (parachains, relay chain, etc.).
    • Compare Polkadot with other blockchains in terms of AI performance.
  • Experiment Design and Development
    • Define key performance metrics (latency, throughput, computational costs).
    • Select tools and AI models to implement.
    • Choose the appropriate parachain or smart contract framework within Polkadot.
    • Implement a practical AI use case on Polkadot.
  • Execution and Data Collection
    • Deploy and test the solution in testnets or controlled environments.
    • Measure performance under different conditions.
    • Compare results with centralized solutions or other blockchains.
  • Analysis and Discussion of Results
    • Evaluate the advantages and limitations of Polkadot for AI.
    • Compare with existing benchmarks.
    • Discuss practical implications and future improvements.
  • Paper Writing
    • Structure the document following scientific standards (abstract, introduction, methodology, results, discussion, conclusion, references).
    • Ensure clarity and coherence in the argumentation.
    • Include graphs, tables, and references to support findings.
  • Review and Publication
    • Conduct internal or external peer review.
    • Adjust based on received feedback.
    • Submit to conferences, journals, or academic platforms.
  • Instructional design for teaching the Polkadot workshop
  • Promotion and engagement activities with those interested in the bootcamp
  • Run the Polkadot Workshop x4
  • Evaluation of deliverables and feedback to participants
  • Office Hours sessions to ensure learning and 1:1 support with technical questions
  • Free-to-use content on the Open Web Academy LMS platform
  • Activation and promotion on Open Web Academy social networks about the bootcamp

Research on the Efficiency of AI Models on the Polkadot Blockchain

Open Web Academy has established an agreement with the Center for Scientific Research and Higher Education of Ensenada (CICESE), one of the leading research centers in Mexico, to collaborate on the creation of educational content related to artificial intelligence and the development of scientific research in this field. As part of this alliance, the proposal includes the creation of a scientific paper titled "Computational Efficiency of AI Models on the Polkadot Blockchain", which aims to compare the execution of artificial intelligence models on and off the blockchain, evaluating costs and processing times.

Thanks to this collaboration, we have the participation of highly qualified experts and mentors, ensuring both the quality of the course and the rigor of the study, providing a practical and innovative approach to AI and blockchain.

Polkadot Workshop

Participants will learn to develop, test, and deploy smart contracts on the Rootstock network, leveraging its compatibility with Ethereum and its security aligned with Bitcoin. Through a hands-on session, they will explore the protocol's tools for executing and securing smart contracts in an on-chain environment. Ideal for developers looking to specialize in building decentralized solutions on Rootstock.

Topics

  • Operation of the Polkadot blokchain
  • Smart contract development
  • Smart contract auditing
  • Creation of artificial intelligence agents on Polkadot
  • Exploration of its governance and creation of 100% on-chain projects

Value proposal. 

  • 100% Spanish content for Latin communities
  • Content created by technical staff with experience in blockchain and support of digital marketing specialists.
  • Stakeholder monitoring in collective development study groups.
  • Personalized monitoring of growing projects
  • Institutional alliances in Mexico and alliances with Spanish-speaking blockchain communities.

Focus on Polkadot

The Open Web Academy team has already analyzed the educational content that Polkadot offers for AI development. Currently, our development team is testing and experimenting with its technology to explore how AI models can be integrated into Polkadot's ecosystem. We believe it is essential to align our content with existing resources to train more Spanish-speaking professionals, covering both foundational and advanced topics on AI deployment, optimization, and security within the Polkadot network.

Target Audience 

Fullstack developers, solidity developers, general devs, university students and IT professionals and experts developers

KPIs

  • 25 example deployment of participants to testnet
  • 5 participant projects launch to mainnet
  • 30 participants in each workshop (120 participants in total)
  • 15 office hour sessions.
  • 10x attendees per office hours session
  • 1x scientific paper in English issued by a SNI level 3 researcher in Mexico
  • 1x Polkadot Workshop syllabus, to provide the pedagogical principles of certification
  • 5x Slides and graphic material used in certifications
  • 15x Recordings of sessions
  • 1x pack of multimedia material to promote certifications.

Budget

TasksHours required
Operations and management90
Research on the Efficiency of AI Models on the Polkadot Blockchain510
Workshop Lectures Design20
Run 4x Workshop Instruction20
Office Hours20
Analysis of final results, evaluation of participants and reports18
Total Hours678

(25 USD/hour)

Grand total: $16,950.00 USD

Timeline

In this section you can see the times established for this proposal

Polkadot proposal - Gantt Diagram

Comments

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Decision Period

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Confirmation Period

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Summary

    Polkassembly - Referendum #1464