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TxPipe MultiParty Escrow
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Type SingularityNET RFP
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Funding Awarded $36,000 USD
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RFP Guidelines Development of a Cardano-Based MultiParty Escrow (MPE) System
Manu Gunther TxPipe
Dec. 8, 2024Preview
Manu Gunther TxPipe
project ownerTxPipe MultiParty Escrow
Project Tags:
TxPipe is a technology company founded in 2021, specializing in Cardano development. We develop and maintain essential open-source tools like Pallas, Aiken, Dolos, and Demeter.run, while supporting key dApps such as Metera, SundaeSwap, World Mobile, and Githoney. With 25 skilled developers, TxPipe excels in infrastructure design and end-to-end dApp development, solidifying our role in the Cardano ecosystem. We propose developing the MultiParty escrow using proven processes backed by our extensive experience.
Design for Cryptocurrency Mining and AI Processing
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Type SingularityNET RFP
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Funding Awarded $80,000 USD
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RFP Guidelines AGI related hardware
Preview
Design for Cryptocurrency Mining and AI Processing
Project Tags:
This 6-month, $80,000 project aims to design a novel hybrid FPGA/ASIC architecture that repurposes Bitcoin mining hardware for AGI computation. The proposed system will combine cryptocurrency mining capabilities with specialized processing for graph traversal and hypervector operations, enabling distributed processing. Led by Simuli Inc, the project will deliver a comprehensive hardware architecture design, prototype implementation, Hyperon/MeTTa integration, and testing documentation. The solution addresses the current inefficiencies of single-purpose mining ASICs while creating economic incentives for distributed AGI computation networks through dual-purpose hardware capabilities.
SMART WASTE: Decentralized Waste Management
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Project for Round 4
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Funding Awarded $5,000 USD
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Funding Pool Ideation-phase
- Milestones 3 / 3 Completed
Gombilla
May 16, 2024Preview
Gombilla
Project ownerSMART WASTE: Decentralized Waste Management
A revolutionary decentralized waste management platform that connects waste producers directly with waste management companies and recyclers. Powered by AI algorithms, it analyzes historical & real-time data to predict waste generation, optimize collection routes, and match producers with the most suitable solutions based on location, waste type, & recycling capabilities. Smart contracts ensure transparent & automated transactions, fostering trust between parties. It also empowers communities through Community-Led Recycling Initiatives, allowing members to earn tokens for participating in recycling programs. These tokens can be redeemed for rewards or reinvested in environmental initiatives
Alignment-Optimized Fundraising Tool for AI Research and Entrepreneurship
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Project for Round 3
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Funding Awarded $8,000 USD
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Funding Pool Tooling
- Milestones 5 / 5 Completed
Davi Lemos
Sep. 14, 2023Preview
Davi Lemos
Project ownerAlignment-Optimized Fundraising Tool for AI Research and Entrepreneurship
Project Tags:
RnDAO and ReLab, under the Regenerative Organizations Laboratory, aim to address the problem of stakeholder misalignment in AI development, particularly AGI, by developing the Preferential Return on Investment Soft-Capped Multistakeholder Model (PRISM). PRISM is designed to provide an alternative fundraising model for AI projects, ensuring alignment between entrepreneurs, researchers, investors, and collaborators, prioritizing humanity's wellbeing and safety. The grant application seeks funding to further research and apply PRISM to AI development and alignment, potentially offering a solution to the risks posed by competitive dynamics in the AI field. The project involves research planning, user interviews, design adaptations, presentation, validation, and publishing of findings. It will be conducted in collaboration with SingularityNET, leveraging both organizations' social channels and networks for promotion. The findings will be made publicly available under a creative commons license. Mitigation strategies include a collaborative alliance and the possibility of disproving the hypothesis.
DeFiGraph – Knowledge Graph (KG) for DeFi
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Project for Round 3
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Funding Awarded $40,000 USD
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Funding Pool SingularityNET RFPs
- Milestones 0 / 8 Completed
Ashton Hettiarachchi
Sep. 14, 2023Preview
Ashton Hettiarachchi
Project ownerDeFiGraph – Knowledge Graph (KG) for DeFi
Project Tags:
The proposal outlines the need for a DeFi Knowledge Graph (KG) to simplify and democratize access to decentralized finance (DeFi) data. It highlights the complexity of DeFi and the lack of user-friendly interfaces, making it difficult for users and developers to engage effectively. The project, called DeFiGraph, aims to create a KG that maps relationships between various DeFi entities, backed by Language Learning Models (LLMs) for natural language queries.
Key components include data collection, KG design, semantic mapping, graph database implementation, and an interactive user interface. The project's innovation lies in combining a KG with a user-friendly interface. It envisions a range of applications, from personalized DeFi bots to on-chain yield products and real-time credit scoring systems.
Stakeholders include L3A, Openmesh, MIT, and Neo4j consultants. The estimated budget is $40,000, allocated mainly to external consultants. Success metrics include milestone completion, data quality, user engagement, technical accuracy, and industry impact.
Milestone 1 focuses on data gathering, preprocessing, and infrastructure setup, involving data source identification, API integration, data normalization, and xNode deployment. Milestone 2 covers KG and model development over ten weeks.
Requirements for a Deep Funding Contribution Token
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Project for Round 3
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Funding Awarded $5,000 USD
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Funding Pool Ideation-phase
- Milestones 1 / 1 Completed
Juana Attieh
Aug. 30, 2023Preview
Juana Attieh
Project ownerRequirements for a Deep Funding Contribution Token
Project Tags:
Photrek and NFT Guild's proposal aims to develop requirements for a DeepFunding Token that goes beyond the limitations of AGIX, creating a multifaceted governance system within Deep Funding and SingularityNET. This initiative seeks to represent social incentives such as engagement and participation through the token, enhancing community-driven dynamics. The proposal includes workshops, both open community and expert discussions, to ideate and design the token. The outcome will be a recommendation document presented to the SingularityNET Foundation and DeepFunding Team. With a budget of $5,000 in AGIX, the proposal aims to establish a resource pool and expertise to guide the token's design beyond the initial project phase.
Evolutionary search for robust trading strategies
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Project for Round 1
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Funding Awarded $40,000 USD
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Funding Pool New projects
- Milestones 1 / 5 Completed
Robert Haas
May 4, 2022Preview
Robert Haas
Project ownerEvolutionary search for robust trading strategies
Project Tags:
This project uses grammar-guided genetic programming to automatically search for robust and creative trading strategies on user-defined markets, indicators, metrics and external timeseries data from predictive models, fundamental analysis or elsewhere. The main challenge in the design of trading strategies is not the automated search process, although an advanced one will be used here, but rather the design and implemention of a proper backtesting approach to evaluate candidate strategies that avoids common pitfalls such as overfitting to the provided data or optimizing the wrong goal. This challenge will be tackled by in-depth literature research about state-of-the-art statistical evaluation techniques and review of existing backtesting libraries. Consequently, the search itself will be tuned by initially developing simple and then increasingly advanced grammars that define different search spaces of candidate trading strategies.
Both 1) the evaluation method for candidate strategies and 2) the grammars for defining suitable spaces of candidate strategies will be integrated into an open-source software package and distributed via GitHub and PyPI. Based on this package, a service will be developed for SingularityNET's AI platform, where users can provide data plus various preferences to the algorithm and it will return evolved trading strategies that perform well on historical data and have a reasonably high chance to actually perform similarly well on live markets. These strategies can then be used either for manual trading or as part of an automated trading system, which involves further aspects such as portfolio management and position sizing for multiple strategies. When the markets undergo a regime change after some time, the strategies can easily be adapted by making use of the service again.
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