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Project Lovelock – Living Libraries Network (LLN)
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Project for BGI Nexus 1
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Funding Awarded $48,888 USD
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Funding Pool Beneficial AI Solutions
- Milestones 0 / 5 Completed
River Roberts
Feb. 23, 2025Preview
River Roberts
Project ownerProject Lovelock – Living Libraries Network (LLN)
Inspired by the late great scientist & futurist, James Lovelock, who developed scientific instruments for NASA and that noticed how Earth functions as a self-regulating system. The vision for Project Lovelock is to create a global network of AI enhanced physical Library spaces that make it easy, insightful and inspiring to understand Earth’s ever evolving self-regulating systems on a bio-regional scale and how to better live in harmony with them. This environmentally integrated network empowers landowners, local councils and communities with crucial information for improved long term decision-making.
Farmlingua
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Project for BGI Nexus 1
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Funding Awarded $45,000 USD
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Funding Pool Beneficial AI Solutions
- Milestones 2 / 5 Completed
Preview
Farmlingua
Farmlingua is an AI-powered farm bot assistant that provides personalized, real-time farming guidance to rural and suburban farmers in local languages. Accessible via mobile/desktop app or USSD for those with limited internet access, it offers advice on soil, planting, fertilization, pest control, disease management, harvest, funding, and market access. Farmlingua’s AI model ensures ethical data privacy, uses NLP to tailor advice to local languages, and updates its knowledge base on sustainable practices, delivering crop-specific insights and boosting productivity.
Modular Adaptive Goal and Utility System (MAGUS)
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Type SingularityNET RFP
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Funding Awarded $20,000 USD
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RFP Guidelines Develop a framework for AGI motivation systems
Anna Mikeda
Nov. 28, 2024Preview
Anna Mikeda
project ownerModular Adaptive Goal and Utility System (MAGUS)
The Modular Adaptive Goal and Utility System (MAGUS) introduces an innovative approach to AGI motivation by integrating hierarchical goal structures, dynamic modulators, and ethical adaptability. Our unique emphasis on “overgoal” ensures continuous alignment of motivations, fostering coherence and adaptability across diverse contexts. MAGUS blends advanced psychological theories with OpenPsi’s dynamic modulators, enabling nuanced decision-making while allowing free goal growth and regular adjustments. This framework bridges human-like and alien digital motivations, creating a scalable system that evolves ethically and pragmatically in unpredictable environments.
Chimera: Evolving Software
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Type SingularityNET RFP
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Funding Awarded $25,000 USD
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RFP Guidelines Develop interesting demos in MeTTa
BHouwens
Oct. 24, 2024Preview
BHouwens
project ownerChimera: Evolving Software
Programming is evolving: from writing solutions to systems that evolve to find their own solutions. The idea behind Chimera is that software of any kind, including agents, can use MeTTa to learn from experiences and evolve through distributed knowledge sharing. AtomSpaces can accelerate learning across multiple instances and agents, allowing each agent or even "dumb" software to benefit from others' evolutionary insights. This proposal's demos will look at self-healing servers, database queries that evolve for performance, and move toward machine "self-consciousness" through reflection and world modelling. The end result will be an SDK/module for use in real projects
Modeling Soil Health Indicators at Scale for Agriculture and Climate
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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 0 / 4 Completed
Kevin R.C.
Aug. 24, 2023Preview
Kevin R.C.
Project ownerModeling Soil Health Indicators at Scale for Agriculture and Climate
Project Tags:
Temporai's proposal outlines a long-term project to develop ecosystem modeling tools that measure global soil health indicators, focusing on subsoil organic carbon (SOC) measurements. The aim is to create an AI-powered model that estimates subsoil SOC content, addressing the challenge of accurately measuring carbon storage. The proposal outlines key milestones such as data sourcing, expert recruitment, and creating a model plan. The funding amount is yet to be determined. The solution involves using AI ensembles to estimate SOC levels based on accurate lab-analyzed subsoil samples. The project's marketing strategy and risk mitigation plans are being developed. The team includes experienced data scientists and an AI and climate advisor.
Computer vision based farm status and recommender system
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Project for Round 2
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Funding Awarded $21,000 USD
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Funding Pool Existing AI services
- Milestones 4 / 5 Completed
Ubio Obu
Jan. 28, 2023Preview
Ubio Obu
Project ownerComputer vision based farm status and recommender system
Project Tags:
Most ML/AI solutions developed for analyzing farms only end up being used by large farms who have the ability to purchase large technologies that are needed to operate these models. Our solution makes farm status and recommendation system easily available to all farmers, developers etc who needs it without the need for sophisticated tools.
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