Luke Mahoney (MLabs)

Project owner

NEURAL SEARCH

Neural Search is a new way to incorporate Monte Carlo Tree Search into neural networks. Unlike similar techniques, Neural Search builds the exploration and optimization of the search into the layers of the network. The search itself is learnable, and provides us with a means to develop guided search algorithms trained on data. We have demonstrated that the algorithm can learn robust solutions to search problems. We propose further development of the approach to large scale problems, and to demonstrate the effectiveness of the algorithm by training it to play Go, a standard achieved AlphaGo.

Total for the project is $150K over 11 months, and it will be resourced by 3 senior MLabs members.

Sam Gittis

Project owner

AI Song Starter: Innovate Music Creation

AI Song Starter is a revolutionary tool designed to streamline music production by generating custom loops and stems based on text prompts or audio inputs. This tool helps musicians overcome writer's block, save time, and enhance creativity. By integrating with SingularityNET AI Marketplace, it democratizes access to advanced music production tools, fostering creativity and innovation across the music industry. This initiative supports over 60 million musicians worldwide, driving broader adoption and engagement within the SingularityNET ecosystem.

Adam Vandervorst

Project owner

Scalable MeTTa Knowledge Graphs

Use the new performant Hyperon backend, MeTTa Optimal Reduction Kernel (MORK), to host knowledge graphs core to the SingularityNET ecosystem. By using Hyperon for this task, we have the opportunity to practice dogfooding on core capabilities like importing relevant data from existing platforms and file formats, storing large knowledge bases in a compressed yet accessible form, supporting both SPARQL and MeTTa queries, and communicating to other services. Furthermore, by the nature of Hyperon's Metagraphs, we can store the code, documentation, version control, and knowledge graph data in the same representation. All functionality would be available via a rich online MeTTa editor.

photrek

Project owner

Intelligent Ocular Image Generation

AI applications developed for detection of medical conditions are hindered by lack of available data for training. Photrek contributes to the goals of DF4 with this Miscellaneous Pool proposal by generating synthetic image libraries for diseases of the human vision system and making these capabilities available to the community.
Photrek has built a team across three continents (Africa, Asia, North America) at four universities (U of Buea Cameroon, VIT India, KNUST Ghana, and SUNY Poly USA) with a team focused on image processing techniques applied to medical applications in a low cost environment within SNET goals for creation of democratic, decentralized, beneficial AGI.

photrek

Project owner

Reputation & Voting Weight System

This RFP design aims to develop a sophisticated system to enhance the SingularityNET ecosystem's reputation and voting mechanisms. It includes four key milestones: conducting a community workshop to refine system architecture, defining high-level requirements for a suite of microservices to export crucial data, developing an adaptive algorithm layer for dynamic engagement and voting score calculations, and constructing a robust knowledge graph for comprehensive data integration. These components will ensure scalability, transparency, and fairness in community-driven decision-making processes.

Devbasrahtop

Project owner

Next Trend LAB: Exploring Decentralized AI for IoT

Next Trend LAB aims to revolutionize SingularityNET by researching the integration of decentralized AI algorithms with IoT. This exploration promises to enhance automation, predictive maintenance, and decision-making in smart environments. By bridging AI with IoT, we'll unlock innovative solutions, driving the adoption of AGIX tokens and expanding SingularityNET's ecosystem.

Robin Spottiswoode

Project owner

Bridging SNET AI Services To Unity Apps

Our project aims to bridge the SingularityNET AI Marketplace with the Unity ecosystem, enabling seamless integration of AI services into 3D/VR/AR applications. We will develop Unity scripts and tools to simplify the discovery and interaction with AI services, specifically integrating the ‘Song Splitter’ and ‘AI Synthesizer’ into our 3D Music Studio app. This will unlock vast potential in gaming, education, and digital entertainment, providing over 2 million Unity developers access to powerful AI tools, fostering innovation, and expanding the SingularityNET ecosystem.

Almalgo (Rojo)

Project owner

Zero-Knowledge Secure LLM

We plan to use homomorphic encryption (HE) to enable zero-knowledge security in Large Language Models (LLMs) on SingularityNet's decentralized AI platform. It involves modifying LLMs to process encrypted data, and maintaining confidentiality throughout. The system uses distributed computing, optimizing performance via hardware accelerations and batching. Security is reinforced with regular audits and zero-knowledge proofs to meet global standards like GDPR, ensuring scalable, secure AI applications.