RFP Details
Long description
Context and background:
SingularityNET Foundation, in collaboration with the OpenCog Foundation and TrueAGI, is developing a scalable AGI system based on the Hyperon framework, running on decentralized infrastructure. The PRIMUS cognitive architecture, designed to integrate multiple cognitive modules, is a core focus of this work. Achieving the goal of a scalable AGI system requires hardware that can support both the symbolic and sub-symbolic processes underpinning AGI. Hyperon’s key components—such as Economic Attention Network (ECAN), Probabilistic Logic Networks (PLN), and procedural learning systems such as Meta-Optimizing Semantic Evolutionary Search (MOSES) which are processing extremely heavy workloads — demand specialized hardware configurations to function efficiently at scale. Also of interest would be hardware solutions to speed up encryption protocols, such as Fully Homomorphic Encryption, for security and privacy critical use-cases such as in the health and financial domains.
This RFP focuses on evaluating and identifying hardware paradigms that can optimize the performance of AGI components, specifically those within the Hyperon architecture. The emphasis is on broadly exploring hardware technologies, perhaps including chips suited for mixed workloads as found in neuro-symbolic systems, processors for hyperdimensional computing (including Sparse Distributed Memory and other approaches in the pursuit of a Vector Symbolic Architecture), and decentralized computing systems. Efficient hardware solutions are critical to scaling AGI systems, ensuring that computational tasks are processed swiftly and accurately while maintaining resource flexibility across decentralized networks. As part of a comprehensive and secure solution with privacy protection, hardware for speeding up data encryption, and decryption should also be evaluated.
This RFP seeks to explore and evaluate innovative hardware paradigms, ranging from small-scale IoT devices to large, decentralized systems, to optimize AGI workloads in the OpenCog Hyperon framework and handle advanced processes such as cognitive synergy, hyperdimensional computing, and fully homomorphic encryption (FHE). The focus is on assessing hardware paradigms and emerging architectures (e.g., neuromorphic processors, associative processors, specialized designs to speed up FHE, etc). The goal is to enhance centralized and decentralized computational efficiency, scalability, and cognitive synergy for AGI systems.
Part of this should involve interacting with the Hyperon team who've built the existing and in-development MeTTa interpreters, and understanding how hardware down to the bare metal can directly support and accelerate AGI processes.
Collaboration:
This RFP may lead to further projects focusing on the integration of selected hardware solutions into the Hyperon/PRIMUS framework and may prompt additional studies on the impact of hardware on the cognitive development of AGI systems, guiding them toward beneficial AGI outcomes.
RFP Expected Outcomes:
- An evaluation of:
- MeTTa, MeTTa compilers, and Hyperon technologies and how various hardware configurations could improve processing among the various cognitive modules and through the stack down to “bare metal”.
- Existing and emerging hardware technologies applicable to the various AGI components, separately and together, and how they may address the shortcomings of current state of the art hardware for the respective computational requirements.
- Identification of hardware solutions that can significantly enhance the performance and scalability of the Hyperon framework.
- Consideration of rethinking codebases and compilers to take advantage of recommendations.
- Recommendations for integrating hardware, such as the promise of hypervector chips and decentralized compute systems, into the Hyperon/PRIMUS stack.
- Insights into how specialized hardware can improve the efficiency of key AGI components, supporting large-scale AGI computations.
Main evaluation criteria
Alignment with requirements and objective
- Does the proposal meet the requirements and advances the objectives of the RFP
Pre-existing R&D
- Has the team previously done similar or related research or development work in other platforms / languages / contexts?
Team competence
- Does the team have relevant skills?
Cost
- Does the proposal offer good value for money?
Timeline
- Does the proposal include a set of clearly defined milestones?
- We highly recommend submitting proposals with project milestones along the lines of the following:
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Milestone 1: Identification of hardware paradigms and research plan
Deliverables: Submission of a comprehensive research plan that outlines the hardware paradigms and chips to be researched. The plan should include initial identification of several potential hardware solutions, mapping them to where they fit in relative to AGI systems.
Proposal of a detailed project plan, including methodologies for evaluating the selected paradigms and how they fit AGI workloads (e.g., scalability, energy efficiency, and performance).
25% of the grant
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Milestone 2: Demonstration of substantial research progress
Deliverables: Evidence of substantial progress in the research phase. Continue development of the research with deeper analysis
25% of the grant
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Milestone 3: Continued demonstration of deeper research progress
Deliverables: Evidence of substantial progress in the research phase. Continue development of the research with deeper analysis.Updated documentation of research findings, including any modifications to the proposed hardware solutions or the AGI component mappings.
25% of the grant
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Milestone 4: Final Stages of Research Progress
Deliverables: Completion of the research phase. This milestone should reflect the maturing of the research efforts, including detailed findings on the hardware paradigms’ impact on AGI performance, scalability, and computational efficiency. Further analysis of results suggesting integration or further study paths for the selected hardware paradigms and approaches.
25% of the grant
Jan Horlings
Project Owner Oct 8, 2024 | 7:13 AMEdit Comment
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