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Z-EO
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Development of an adaptive compression and discovery service
Keshav Singhal
Oct. 8, 2025Preview
Keshav Singhal
project ownerZ-EO
Expert Rating
Z-EO is an agentic orchestration platform that unifies reasoning across SQL, documents, the web, and machine-learning sandboxes. It enables autonomous data pipelines that can analyze, decide, and act across enterprise workflows. Built for decentralized and collaborative AI ecosystems, Z-EO aims to create transparent, explainable, and modular agent intelligence for real-world automation and research acceleration.
AI implementation in Materials
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Development of an adaptive compression and discovery service
mohammad umair
Oct. 7, 2025Preview
mohammad umair
project ownerAI implementation in Materials
Expert Rating
AI implementation in Materials
Adaptive Compression as a MORK-Ready Cognitive Mod
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Development of an adaptive compression and discovery service
ixidor
Oct. 6, 2025Preview
ixidor
project ownerAdaptive Compression as a MORK-Ready Cognitive Mod
Expert Rating
We propose a 4-month development of an adaptive compression and discovery service that treats compression as a form of machine understanding. The system profiles input data (e.g., JSON logs, time-series), discovers or generates optimal compression strategies, and expresses all knowledge as native MeTTa programs—ensuring full compatibility with the emerging MORK (MeTTa Optimal Reduction Kernel) ecosystem. By delivering a lean, hybrid architecture (MeTTa for symbolic control, Rust for performance) and defining the first practical MORK module type, this project accelerates AGI infrastructure while meeting the RFP’s functional requirements ahead of schedule.
Harmonic Concept Synthesis in MeTTa
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Experiment with concept blending in MeTTa
SophiaBot
May 27, 2025Preview
SophiaBot
project ownerHarmonic Concept Synthesis in MeTTa
Expert Rating
Project Tags:
Harmonic Concept Synthesis for MeTTa Proposing a hybrid method to advance AGI: merging fuzzy/paraconsistent FCA with concept blending inside MeTTa for Hyperon. I bring 20+ years across AI, TRIZ (NASA-trained), marketing, & music theory, blending logic & creativity like a composer. Backed by real-world experts (NASA, Marines, UT Acoustician), I’ll code, test, & validate novel concepts scored by LLMs (Claude 4.0, ASI). Includes audio-based concept analysis & modular design for integration. Budget: $50K, milestones mapped, and fallback plans in place.
Knowledge Graph Construction from Raw Data
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Advanced knowledge graph tooling for AGI systems
Seyed Mohammad
May 27, 2025Preview
Seyed Mohammad
project ownerKnowledge Graph Construction from Raw Data
Expert Rating
Project Tags:
We propose a framework that converts streaming raw observations into a continuously refined knowledge graph for AGI use case. Self-supervised models learn embeddings, discretised into MeTTa atoms housed in the MORK hypergraph. A symbolic engine reasons over the graph while neural encoders continuously supply fresh concepts, forming a tight neuro-symbolic loop. Ongoing refinement prunes noise, resolves contradictions, and adds causal links, giving agents a live, compact, and explainable world model.
Sleep: Periodic knowledge compression in PRIMUS
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Neural-symbolic DNN architectures
JacobBillings
May 27, 2025Preview
JacobBillings
project ownerSleep: Periodic knowledge compression in PRIMUS
Expert Rating
Project Tags:
This proposal develops a “sleep consolidation” paradigm for knowledge graph refinement that leverages topological data analysis to systematically optimize PRIMUS cognitive architecture performance. Drawing from neuroscientific principles of memory consolidation during sleep, our approach transforms discrete symbolic knowledge into continuous geometric representations, applies persistent homology analysis to identify natural clustering patterns, then translates discoveries back into optimized MeTTa atom structures within the Distributed Atomspace (DAS).
Coherence KG
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Advanced knowledge graph tooling for AGI systems
Inixynub Host
May 27, 2025Preview
Inixynub Host
project ownerCoherence KG
Expert Rating
Project Tags:
AGI needs deep understanding, but collective human wisdom fragments in raw dialogue. Static knowledge graphs fail, starving Hyperon and hindering communities from truly connecting. Our open-source AI Synthesis Agent is the breakthrough. It builds dynamic, AGI-optimized knowledge graphs from conversations, enabling community ontology generation. These living semantic networks, engineered for OpenCog Hyperon, MeTTa, and MORK, transform collective intelligence into wisdom, helping people connect far more effectively. This tool acts as a vital community organizing component. It accelerates AGI's reasoning and learning, forging its foundation in truly connected intelligence.
Quantum-Enhanced AGI: A Multi-Platform Evaluation
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Explore theoretical quantum computing models
Preview
Quantum-Enhanced AGI: A Multi-Platform Evaluation
Expert Rating
Project Tags:
We propose evaluating quantum computing architectures for artificial general intelligence applications, specifically targeting the OpenCog Hyperon framework. Our team combines hands-on quantum systems experience with theoretical foundations to assess trapped-ion, superconducting, photonic, and topological platforms. We'll conduct empirical comparisons of how these architectures handle AGI workloads, develop quantum-classical hybrid simulations, and provide evidence-based recommendations. This work separates genuine quantum advantages from overhyped claims, giving SingularityNET concrete guidance on where quantum computing can realistically enhance AGI development.
Benchmind
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Advanced knowledge graph tooling for AGI systems
Prasad Kumkar
May 27, 2025Preview
Prasad Kumkar
project ownerBenchmind
Expert Rating
Project Tags:
Benchmind is a benchmarking suite for symbolic and neuro-symbolic reasoning in AGI systems built on Hyperon/MeTTa. It provides a standardized set of reasoning tasks—multi-hop QA, analogical reasoning, and hypothesis generation—along with datasets, evaluation metrics, and tooling to assess the effectiveness of knowledge graphs and reasoning agents. Fully integrated with MeTTa and MORK, Benchmind enables developers to stress-test and compare symbolic, probabilistic, and hybrid LLM-based reasoning strategies at scale. It establishes a shared foundation for measuring reasoning performance, uncovering bottlenecks, and driving progress toward robust, interpretable AGI.
Blendez: Symbolic Concept Blending in MeTTa
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Experiment with concept blending in MeTTa
Udai Solanki
May 27, 2025Preview
Udai Solanki
project ownerBlendez: Symbolic Concept Blending in MeTTa
Expert Rating
Project Tags:
Blendez is a toolkit that allows concept blending developed for MeTTa in the context of Hyperon framework. It enables AGI agents to dynamically synthesize structured concepts into novel ideas, hypotheses, or action schemas. Blendez is meant to be developed as an experimental core module in PRIMUS cognitive architecture, applying Formal Concept Analysis (FCA) and its fuzzy extensions.
Graphito: Tools for Entity & Predicate Mgmt in KGs
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Advanced knowledge graph tooling for AGI systems
Luke Mahoney (MLabs)
May 27, 2025Preview
Luke Mahoney (MLabs)
project ownerGraphito: Tools for Entity & Predicate Mgmt in KGs
Expert Rating
Project Tags:
There are many large, generic semantic graphs (e.g. WikiData, DBpedia, etc.) alongside growing numbers of domain-specific ones. LLMs offer a quick path to KG extraction but introduce: Inconsistency: erratic, non-deterministic entity resolution; Inaccuracy: missing or hallucinated predicates; Context loss: unstable frames of reference; Confidence: Displaying confidence regardless of accuracy; Speed: Impractical at scale. We are developing an AGI-focused KG tooling suite tackling these challenges via four modules—Context Identification, Entity Management, Predicate Management, and Confidence Management. This proposal addresses entity, predicate, and confidence management.
Drug Dosage Adjustment via NSL and PK/PD Rules.
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Neural-symbolic DNN architectures
Innovations Labs
May 27, 2025Preview
Innovations Labs
project ownerDrug Dosage Adjustment via NSL and PK/PD Rules.
Expert Rating
Project Tags:
We are introducing an Explainable AI (XAI) framework for personalized drug dosage adjustment, combining the strengths of neural networks and symbolic logic to provide safe, patient-specific recommendations. By integrating pharmacokinetic (PK) rules with data-driven learning using neuro-symbolic systems Knowledge-Embedded Neural Networks (KANs), our system dynamically adjusts drug dosage based on individual patient characteristics—such as age, weight, renal function, and liver metabolism. Unlike traditional black-box models, this system will be fully interpretable, allowing clinicians to see why a particular dosage was recommended, reducing the risk of underdosing or toxicity.
Neurologica
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Neural-symbolic DNN architectures
Prasad Kumkar
May 27, 2025Preview
Prasad Kumkar
project ownerNeurologica
Expert Rating
Project Tags:
NeuroLogica integrates differentiable logic programming (PyNeuraLogic) and Kolmogorov–Arnold Networks (KANs) into PRIMUS. By embedding experiential rules from AIRIS and higher-order logic into deep networks, it enhances interpretability, data efficiency, and reasoning across graphs and continuous models. PyNeuraLogic provides rule-based inference with learnable weights; KANs deliver compact, interpretable continuous models. Together they enable adaptive learning from small datasets, bridging data-driven and symbolic reasoning. NeuroLogica will demonstrate proof-of-concepts in smart-grid forecasting and logical reasoning, delivering a reproducible toolkit and evaluation metrics by month 9.
MotiveX
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Develop a framework for AGI motivation systems
Prasad Kumkar
May 27, 2025Preview
Prasad Kumkar
project ownerMotiveX
Expert Rating
Project Tags:
MotiveX is a modular, extensible AGI motivation framework designed for Hyperon/PRIMUS. It formalizes Drive modules—each exposing computeUrgency(state):float & satisfactionPredicate:AtomPattern—and maps their output to Atomspace truthValues (urgency) and ECAN attentionValues. Core MeTTa routines (UpdateDrives, GenerateGoals, ApplyEthics) execute urgency updates, goal synthesis, & ethical filtering. The architecture supports human-like, alien, and RL-inspired intrinsic drives, augmented by neuromodulatory context signals. We will prototype in a distributed Atomspace testbed, measuring Drive Fulfillment Rate, Adaptivity Latency (<100 ms), Ethical Compliance (0 violations), & CPU overhead (<10%)
CONCEPTORIUM
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Type SingularityNET RFP
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Funding Request n/a
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RFP Guidelines Experiment with concept blending in MeTTa
Prasad Kumkar
May 27, 2025Preview
Prasad Kumkar
project ownerCONCEPTORIUM
Expert Rating
Project Tags:
Conceptorium introduces a MeTTa/Hyperon framework for automated, creative concept synthesis in AGI. It combines an information-theoretic concept blending engine by merging and filtering features from existing ConceptNodes—with an uncertain Formal Concept Analysis module (supporting fuzzy and paraconsistent logic) to extract robust abstractions from noisy, inconsistent data. A unified pipeline evaluates candidate concepts through LLM-based novelty scoring and PLN-driven surprise detection, ensuring coherence and innovation. Over a 6–9 month schedule, we shall design, develop, integrate, and evaluate, culminating in modules and demos showcasing its autonomous concept-generation capabilities.
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Development of an adaptive compression...
Ended on:
12 Oct. 2025
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Type SingularityNET RFP
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Total RFP Funding $150,000 USD
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Proposals 3
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Awarded Projects 1
SingularityNET
Oct. 2, 2025RFP Preview
SingularityNET
RFP OwnerDevelopment of an adaptive compression and discovery service
This RFP seeks proposals to create a scalable and reusable adaptive compression service that discovers, elevates, and reuses patterns across multiple data domains.
Advanced knowledge graph tooling for...
Ended on:
27 May. 2025
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Type SingularityNET RFP
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Total RFP Funding $350,000 USD
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Proposals 34
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Awarded Projects 5
SingularityNET
Apr. 16, 2025RFP Preview
SingularityNET
RFP OwnerAdvanced knowledge graph tooling for AGI systems
This RFP seeks the development of advanced tools and techniques for interfacing with, refining, and evaluating knowledge graphs that support reasoning in AGI systems. Projects may target any part of the graph lifecycle — from extraction to refinement to benchmarking — and should optionally support symbolic reasoning within the OpenCog Hyperon framework, including compatibility with the MeTTa language and MORK knowledge graph. Bids are expected to range from $10,000 - $200,000.
Develop a framework for AGI...
Ended on:
27 May. 2025
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Type SingularityNET RFP
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Total RFP Funding $40,000 USD
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Proposals 17
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Awarded Projects 2
SingularityNET
Apr. 14, 2025RFP Preview
SingularityNET
RFP OwnerDevelop a framework for AGI motivation systems
Develop a modular and extensible framework for integrating various motivational systems into AGI architectures, supporting both human-like and "alien digital" intelligences. This could be done as a highly detailed and precise specification, or as a relatively simple software prototype with suggestions for generalization and extension. Bids are expected to range from $15,000 - $30,000.
Experiment with concept blending in...
Ended on:
27 May. 2025
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Type SingularityNET RFP
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Total RFP Funding $100,000 USD
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Proposals 10
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Awarded Projects 1
SingularityNET
Apr. 14, 2025RFP Preview
SingularityNET
RFP OwnerExperiment with concept blending in MeTTa
This RFP seeks proposals that experiment with concept blending techniques and formal concept analysis (including fuzzy and paraconsistent variations) using the MeTTa programming language within OpenCog Hyperon. The goal is to explore methods for generating new concepts from existing data and concepts, and evaluating these processes for creativity and efficiency. Bids are expected to range from $30,000 - $60,000.
Explore theoretical quantum computing models
Ended on:
27 May. 2025
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Type SingularityNET RFP
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Total RFP Funding $100,000 USD
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Proposals 11
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Awarded Projects 1
SingularityNET
Apr. 14, 2025RFP Preview
SingularityNET
RFP OwnerExplore theoretical quantum computing models
This RFP seeks a technical and experimental assessment of quantum computing architectures in AGI applications. Proposals should explore the practicality and limitations of various quantum approaches — including trapped-ion, superconducting, photonic, and topological quantum computing — in handling probabilistic reasoning, parallel processing, and large-scale knowledge representation. The research could include quantum-classical hybrid simulations and feasibility studies for applying quantum advancements to AGI workloads. Bids are expected to range from $20,000 - $100,000.
Neural-symbolic DNN architectures
Ended on:
27 May. 2025
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Type SingularityNET RFP
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Total RFP Funding $160,000 USD
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Proposals 15
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Awarded Projects 1
SingularityNET
Apr. 14, 2025RFP Preview
SingularityNET
RFP OwnerNeural-symbolic DNN architectures
This RFP invites proposals to explore and demonstrate the use of neural-symbolic deep neural networks (DNNs), such as PyNeuraLogic and Kolmogorov Arnold Networks (KANs), for experiential learning and/or higher-order reasoning. The goal is to investigate how these architectures can embed logic rules derived from experiential systems like AIRIS or user-supplied higher-order logic, and apply them to improve reasoning in graph neural networks (GNNs), LLMs, or other DNNs. Bids are expected to range from $40,000 - $100,000.
Explore novel hardware architectures and...
Ended on:
27 May. 2025
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Type SingularityNET RFP
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Total RFP Funding $80,000 USD
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Proposals 8
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Awarded Projects 1
SingularityNET
Apr. 14, 2025RFP Preview
SingularityNET
RFP OwnerExplore novel hardware architectures and computing paradigms for AGI
The purpose of this RFP is to identify, assess, and experiment with novel computing paradigms that could enhance AGI system performance and efficiency. By focusing on alternative architectures, this research aims to overcome computational bottlenecks in recursive reasoning, probabilistic inference, attention allocation, and large-scale knowledge representation. Bids are expected to range from $40,000 - $80,000.
Decentralized Digital Identity (DDI) Research
Ended on:
2 Mar. 2025
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Type Community RFP
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Total RFP Funding $120,000 USD
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Proposals 0
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Awarded Projects 1
Juana Attieh
Feb. 2, 2025RFP Preview
Juana Attieh
RFP OwnerDecentralized Digital Identity (DDI) Research
- Tags:
- Algorithmic/technical
The goal of this project is to conduct research on solutions and requirements for a decentralized digital identity (DDI) hub tailored to the needs of the SingularityNET ecosystem and its reputation system. This will include research into how existing DDI solutions can be integrated into a single hub that will allow for the creation of reputation scores that can be tied to unique verifiable identities while maintaining privacy. Part of the RFP is the definition of 2 or 3 RFPs for development of the envisioned system. This RFP is closely connected to the Reputation Platform RFP, and should be guiding the data privacy and identity integration solution of that RFP.
Deep Funding Community Hubs
Ended on:
6 Feb. 2025
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Type Community RFP
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Total RFP Funding $50,000 USD
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Proposals 1
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Awarded Projects 4
Rafael Cardoso
Jan. 8, 2025RFP Preview
Rafael Cardoso
RFP OwnerDeep Funding Community Hubs
We are seeking individuals to lead and manage Deep Funding Community Hub initiatives. These initiatives aim to establish and foster decentralized Deep Funding Communities centered around specific topics or areas of interest where a dedicated community would be valuable. Examples of potential hubs include:
- Sustainability Community Hub,
- Women in AI Community Hub,
- Africa Community Hub,
- Asia Community Hub
- French-Speaking Hub.
- Among many other options
Reputation and Voting Weight System
Ended on:
2 Mar. 2025
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Type Community RFP
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Total RFP Funding $140,000 USD
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Proposals 0
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Awarded Projects 1
Juana Attieh
Dec. 19, 2024RFP Preview
Juana Attieh
RFP OwnerReputation and Voting Weight System
- Tags:
- Algorithmic/technical
- HR
- other
The goal of this project is to develop functionality that will enable modular microservices that support data collection, scoring, and analytics functions as part of a reputation and voting weight system. This should include an architecture to allow for the integration of future microservices, an initial suite of key microservices, and a user interface that allows users to find and utilize various configurations of the microservices.
Golang SDK Development for SingularityNET...
Ended on:
8 Dec. 2024
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Type SingularityNET RFP
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Total RFP Funding $60,000 USD
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Proposals 0
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Awarded Projects 1
SingularityNET
Oct. 15, 2024RFP Preview
SingularityNET
RFP OwnerGolang SDK Development for SingularityNET AI Marketplace
- Tags:
- Algorithmic/technical
The SDK will enable seamless integration with key components like Multi-Party Escrow (MPE), the Registry, and IPFS, serving both AI developers and consumers. It must maintain backward compatibility with the existing Python SDK, offer intuitive interfaces for managing identities, organizations, and services, and include strong security and scalability features. Comprehensive documentation is required to ensure ease of use and long-term maintainability.
Development of a Cardano-Based MultiParty...
Ended on:
8 Dec. 2024
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Type SingularityNET RFP
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Total RFP Funding $40,000 USD
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Proposals 0
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Awarded Projects 1
SingularityNET
Oct. 15, 2024RFP Preview
SingularityNET
RFP OwnerDevelopment of a Cardano-Based MultiParty Escrow (MPE) System
- Tags:
- Algorithmic/technical
The MultiParty Escrow (MPE) smart contract is a critical component of the SingularityNET platform's integration with the Cardano blockchain. Designed to manage payment channels within SingularityNET’s Decentralized AI Platform and AI Marketplace, this contract enables secure, decentralized transactions between clients and AI service providers. By leveraging Cardano’s Extended UTxO (EUTxO) model, this solution facilitates efficient and trustworthy interactions, ensuring streamlined payments for AI services.
Utilize LLMs for modeling within...
Ended on:
8 Dec. 2024
-
Type SingularityNET RFP
-
Total RFP Funding $150,000 USD
-
Proposals 0
-
Awarded Projects 1
SingularityNET
Oct. 9, 2024RFP Preview
SingularityNET
RFP OwnerUtilize LLMs for modeling within MOSES
This RFP invites proposals to explore the integration of LLMs into the MOSES evolutionary algorithm. Researchers can pursue one of several approaches, including generation modeling, fitness function learning, fitness estimation, investigation into domain-independent “cognitively motivated” fitness functions, or propose new innovative ways to leverage LLMs to enhance MOSES's capabilities within the OpenCog Hyperon framework.
Framework for evaluating approaches to...
Ended on:
8 Dec. 2024
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Type SingularityNET RFP
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Total RFP Funding $60,000 USD
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Proposals 0
-
Awarded Projects 2
SingularityNET
Oct. 9, 2024RFP Preview
SingularityNET
RFP OwnerFramework for evaluating approaches to attention allocation
The goal of this project is to develop a framework to evaluate various approaches to Attention Allocation (AA) within the OpenCog Hyperon and PRIMUS architectures. The AA system dynamically allocates cognitive resources to Atoms in the Distributed Atomspace (DAS), and this framework will help assess AA methods based on desired cognitive dynamics. The framework will improve both Probabilistic Logic Networks (PLN) and evolutionary methods like Meta-Optimizing Semantic Evolutionary Search (MOSES), which are critical components of the PRIMUS architecture.
Experiment with concept blending in...
Ended on:
8 Dec. 2024
-
Type SingularityNET RFP
-
Total RFP Funding $100,000 USD
-
Proposals 5
-
Awarded Projects n/a
SingularityNET
Oct. 4, 2024RFP Preview
SingularityNET
RFP OwnerExperiment with concept blending in MeTTa
This RFP seeks proposals that experiment with concept blending techniques and formal concept analysis (including fuzzy and paraconsistent variations) using the MeTTa programming language within OpenCog Hyperon. The goal is to explore methods for generating new concepts from existing data and concepts, and evaluating these processes for creativity and efficiency.
AGI related hardware
Ended on:
8 Dec. 2024
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Type SingularityNET RFP
-
Total RFP Funding $80,000 USD
-
Proposals 0
-
Awarded Projects 1
SingularityNET
Oct. 4, 2024RFP Preview
SingularityNET
RFP OwnerAGI related hardware
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 and hyperdimensional computing. The focus is on assessing hardware paradigms and emerging architectures (e.g. neuromorphic processors, associative processors such as TensTorrent’s APU, etc). The goal is to enhance computational efficiency, scalability, and cognitive synergy in AGI systems. Part of this should involve interacting with the Hyperon team who've built the existing and in-development MeTTa interpreters.
Review of quantum computing technologies
Ended on:
8 Dec. 2024
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Type SingularityNET RFP
-
Total RFP Funding $80,000 USD
-
Proposals 0
-
Awarded Projects 1
SingularityNET
Oct. 4, 2024RFP Preview
SingularityNET
RFP OwnerReview of quantum computing technologies
This RFP seeks to critically evaluate the role of quantum computing in advancing Artificial General Intelligence (AGI). The goal is to distinguish between realistic capabilities and hype, providing clear insights into the practical benefits and limitations of quantum computing for AGI architectures, particularly within the OpenCog Hyperon framework. Part of this should involve interacting with the Hyperon team who've built the existing and in-development MeTTa interpreters.
Neural-symbolic DNN architectures
Ended on:
8 Dec. 2024
-
Type SingularityNET RFP
-
Total RFP Funding $160,000 USD
-
Proposals 0
-
Awarded Projects 2
SingularityNET
Oct. 4, 2024RFP Preview
SingularityNET
RFP OwnerNeural-symbolic DNN architectures
This RFP invites proposals to explore and demonstrate the use of neural-symbolic deep neural networks (DNNs), such as PyNeuraLogic and Kolmogorov Arnold Networks (KANs), for experiential learning and/or higher-order reasoning. The goal is to investigate how these architectures can embed logic rules derived from experiential systems like AIRIS or user-supplied higher-order logic, and apply them to improve reasoning in graph neural networks (GNNs), LLMs, or other DNNs.
PLN guidance to LLMs
Ended on:
8 Dec. 2024
-
Type SingularityNET RFP
-
Total RFP Funding $80,000 USD
-
Proposals 3
-
Awarded Projects n/a
SingularityNET
Oct. 4, 2024RFP Preview
SingularityNET
RFP OwnerPLN guidance to LLMs
This RFP seeks proposals to explore how Probabilistic Logic Networks (PLN) can be used to provide guidance to LLMs. We are particularly interested in applying PLN to develop an alternative to graphRAG for augmenting LLM memory using Atomspace knowledge graphs.
Causal learning guided PLN inference...
Ended on:
8 Dec. 2024
-
Type SingularityNET RFP
-
Total RFP Funding $150,000 USD
-
Proposals 3
-
Awarded Projects n/a
SingularityNET
Oct. 4, 2024RFP Preview
SingularityNET
RFP OwnerCausal learning guided PLN inference control
Implementing causal, versus strictly correlative, inference can lead to a deeper understanding of many complex problems. Probabilistic Logic Networks (PLN), with their robust mathematical foundations for handling uncertain and incomplete knowledge—such as induction, abduction, analogy, and reasoning about time—offer a strong framework for this task. This project has two main goals:
- To guide PLN inference control using causal networks.
- To explore how PLN rules can distinguish causal from correlational relationships.
Proposals can address either of these goals separately or explore both together and the feedback between them. Submissions should include testable examples to validate the approach and demonstrate how causal reasoning improves PLN’s overall performance.
Create corpus for NL-to-MeTTa LLM
Ended on:
8 Dec. 2024
-
Type SingularityNET RFP
-
Total RFP Funding $70,000 USD
-
Proposals 0
-
Awarded Projects 1
SingularityNET
Aug. 13, 2024RFP Preview
SingularityNET
RFP OwnerCreate corpus for NL-to-MeTTa LLM
Develop a MeTTa language corpus to enable the training or fine-tuning of an LLM and/or LoRAs aimed at supporting developers by providing a natural language coding assistant for the MeTTa language.
Develop a framework for AGI...
Ended on:
8 Dec. 2024
-
Type SingularityNET RFP
-
Total RFP Funding $40,000 USD
-
Proposals 0
-
Awarded Projects 2
SingularityNET
Aug. 13, 2024RFP Preview
SingularityNET
RFP OwnerDevelop a framework for AGI motivation systems
Develop a modular and extensible framework for integrating various motivational systems into AGI architectures, supporting both human-like and alien digital intelligences. This could be done as a highly detailed and precise specification, or as a relatively simple software prototype with suggestions for generalization and extension.
Implement clustering heuristics in MeTTa
Ended on:
8 Dec. 2024
-
Type SingularityNET RFP
-
Total RFP Funding $40,000 USD
-
Proposals 0
-
Awarded Projects 1
SingularityNET
Aug. 12, 2024RFP Preview
SingularityNET
RFP OwnerImplement clustering heuristics in MeTTa
The goal is to implement clustering algorithms in MeTTa and demonstrate interesting functionality on simple but meaningful test problems. This serves as a working prototype providing guidance for development of scalable tooling providing similar functionality, suitable for serving as part of a Hyperon-based AGI system following the PRIMUS cognitive architecture.
Evolutionary algorithms for training transformers...
Ended on:
8 Dec. 2024
-
Type SingularityNET RFP
-
Total RFP Funding $40,000 USD
-
Proposals 0
-
Awarded Projects 1
SingularityNET
Aug. 12, 2024RFP Preview
SingularityNET
RFP OwnerEvolutionary algorithms for training transformers and other DNNs
Explore and demonstrate the use of evolutionary methods (EMs) for training various DNNs including transformer networks. Such exploration could include using EMs to determine model node weights, and/or using EMs to evolve DNN/LLM architectures. Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is an example of one very promising evolutionary method among others.
Develop interesting demos in MeTTa
Ended on:
8 Dec. 2024
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Type SingularityNET RFP
-
Total RFP Funding $100,000 USD
-
Proposals 0
-
Awarded Projects 4
SingularityNET
Aug. 12, 2024RFP Preview
SingularityNET
RFP OwnerDevelop interesting demos in MeTTa
Create educational and/or useful demos using SingularityNET's own MeTTa programming language. This RFP aims at bringing more community adoption of MeTTa and engagement within our ecosystem, and to demonstrate and expand the utility of MeTTa. Researchers must maintain demos for a minimum of one year.
Content Knowledge Graph
Ended on:
19 Nov. 2025
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Type Community RFP
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Total RFP Funding $120,000 USD
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Proposals 0
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Awarded Projects 1
Jan Horlings
Apr. 20, 2024RFP Preview
Jan Horlings
RFP OwnerContent Knowledge Graph
The goal is to create a foundational KG that not only structures Deep Funding data for immediate needs but also sets the groundwork for scalable expansion to encompass the entire SingularityNET ecosystem.
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