new
We’re thrilled to announce the launch of our new features 
Our Platform is an open and decentralized network of AI services made accessible through the blockchain. Developers publish their services to the SingularityNET network, where they can be used by anyone with an internet connection. Developers are able to charge for the use of their services using the native AGIX token.
Services can provide inference or model training across myriad domains such as image, video, speech, text, time-series, bio-AI, and network analysis. The services can be as simple as wrapping a well-known algorithm, a complete end-to-end solution for an industry problem, or a standalone AI application. Developers can also deploy autonomous AI agents that interoperate with other services on the network.
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Knowledge Graphs (KGs) represent a sophisticated approach to data management and retrieval that mirrors the complex relationships and semantics present in the real world. They organize information into nodes and edges, where nodes represent entities (such as objects, concepts, or individuals) and edges denote the relationships between these entities.
This structured format allows for a nuanced representation of interconnected data, providing a framework for inference and reasoning, which is crucial for the development of advanced AI systems.
SingularityNET integrates Knowledge Graphs (KGs) with advanced AI technologies like neural networks and symbolic reasoning to create a robust and dynamic data management framework. This approach leverages decades of research in knowledge graphs, neural symbolic AI, and decentralized architectures to develop a system that not only organizes data but also enhances its contextual and relational understanding.
Equipped with structured and resilient data infrastructure that is grounded in reality. Ideal for creating AI systems that are trustworthy and reliable, addressing the common issues of hallucinations and lack of contextual understanding in current LLMs.
The use of KGs allows for a more nuanced and relational understanding of data. This relational mapping is crucial for applications that require deep contextual insights and complex reasoning.
Compatible with neural networks and symbolic reasoning systems, combining the strengths of both technologies and enabling the creation of advanced AI systems that are capable of more sophisticated inference and reasoning.
Designed with a focus on structured, relationship-driven data to evolve with the advancements in AI technology.
Zarqa is an innovative initiative designed to harness the strengths of neural-symbolic AI to create the next generation of Large Learning Models (LLMs). The project builds upon the extensive expertise and technological advancements within the SingularityNET ecosystem, combining scaled neural-symbolic architectures with cutting-edge computing systems to push the boundaries of AI capabilities.
Our LLM technology that not only matches but exceeds current market offerings. Leveraging a modular system specifically designed for large-scale training and processing, the project integrates massive data handling, real-time informational source monitoring, and advanced symbolic computations into a unified computing framework. This approach ensures the technology can dynamically update its world model, support self-reflection, and adhere to a fundamental ethical codex, making it a pioneering force in the journey towards Artificial General Intelligence (AGI).
Supports dynamically updated world models, allowing for critical machine thinking and adaptive learning based on new information.
Equipped with a model of AI’s own personality, capable of evolving and adhering to a moral and ethical framework for better predictability, interpretability, and security of AI systems.
Leveraging long-term and episodic memory allows the LLMs to expand the cognitive capabilities, including advanced perceptual mechanisms like multimodal person identification and emotion recognition.
Combines large multimodal neural networks with a robust symbolic core, enabling high levels of creativity, logical reasoning, and decision-making capabilities that are essential for achieving AGI.
Participation of human agents in the training process at-scale enables broad collaboration, allowing diverse inputs to shape the ethical norms and performance of AI models.
Designed for scalability, allowing for gradual increases in power and capabilities as the system evolves towards AGI. This modular design ensures flexibility and adaptability in meeting future AI challenges.
AI-DSL is a transformative component in the next phase of our platform that will enable separate narrow services to form ad-hoc workflow collaborations to fulfill more complex tasks than any single service would be capable of.
AI-DSL is an AI service that will not require a strict predefined format of inputs and outputs of the services. This will allow it to orchestrate ad-hoc workflows of fitting services to execute a requested task. Due to the growing number of services on the platform the requirements will evolve to include both functional and non-functional variables (like lowest cost, highest speed, best reliability etc.) based on our reputation system for AIs.
AI-DSL provides a standardized communication protocol that allows different AI services to interoperate seamlessly, making data from one AI agent readable to other agents.
Users can access all required AI services via a single entry point, eliminating the need to navigate multiple providers or platforms, thus saving time and effort.
AI-DSL enables the creation of complex AI workflows by linking simple AI tools together, making it possible to achieve sophisticated AI processes by combining various services.
The protocol allows AI services on the SingularityNET Platform to collectively become more powerful and versatile, enhancing the overall utility of the platform.
AI-DSL is set to evolve with potential use of the MeTTa programming language, promising greater flexibility, efficiency, and scalability for larger AI service compositions as the technology advances.
The long-term vision of AI-DSL includes the development of a self-organizing and self-assembling set of AI tools, leading to the emergence of Artificial General Intelligence (AGI).
OpenCog Hyperon will implement a complete, scalable, and open-source general artificial intelligence system based on the principles of OpenCog. It is an open-sourced platform where different AI strategies and methods such as Neuro Symbolic AI, Evolutionary Learning systems, Economic Attention Allocation, Machine Learning, and other AI approaches can collaborate based on a shared knowledge metagraph (Atomspace).
Hyperon inherits the concepts of OpenCog but is fully refactored and considerably redesigned, with a decentralized architecture ready to take full advantage of the evolving blockchain infrastructure. The end result is a design that is way faster, more scalable, more flexible, and much easier to learn and use. We believe that this upgrade to OpenCog Hyperon will have similar effects on our AI approach as the increased CPU speed and availability of large datasets have had on Machine Learning approaches in past decades.
Fit for rapid, vertical growth without sacrificing performance or consuming additional resources.
Opencog Hyperon offers high usability and a short learning curve, aiming to make your job as easy as possible.
Stylish, compact, and simple to optimize your work, save you time, and improve the final result.
Designed exclusively to help developers achieve human-level artificial intelligence and beyond.
Doesn’t matter what you’re building — OpenCog can offer you the tools to do it.
OpenCog Hyperon contains several resources to cover even the tiniest detail of advanced AI development.