AI

Cambrian Network is an innovative AI infrastructure protocol that integrates on-chain and off-chain data, providing developers and users with a fast, comprehensive, and verifiable financial intelligence platform. With its multi-chain support and user-friendly APIs, the platform serves both current human-guided intelligent agents and establishes the groundwork for future autonomous agent ecosystems. The team brings together experts from renowned projects like The Graph and Semiotic Labs, combining deep expertise in decentralized data indexing and machine learning technology.

Mawari, using its patented spatial computing technology, has delivered more than 50 successful commercial projects for global brands such as Netflix, KDDI, T-Mobile, and BMW. DIO marks the next stage of Mawari's growth, offering a transparent, fair, and sustainable infrastructure through dynamic revenue sharing, early operator incentives, and fair pricing.

MCP enables AI systems to discover and interact with available tools dynamically, supporting persistent two-way communication between models and external systems.

This article introduces the concept of AI crypto trading bots, explains the features and working principles of Gate.io trading bots, and provides users with suggestions on how to use them effectively. Additionally, we explore other types of platforms, the advantages and potential risks of using trading bots, and the future outlook of this field.

I believe DeAI will define the next trend in Web3 AI. We’ll see more teams that change how we interact with each other & with protocols, shift how value is created, and generate new segments that reach more users & mindshare (more mainstream).

As the world’s first FHE blockchain project designed specifically for AI agents, Mind Network leverages the immense security advantages of FHE in AI to build a secure foundation for the development of the Agentic World.

MCP (Model Context Protocol) is an emerging field that has recently attracted attention from Web2 tech companies like Google. The article provides an in-depth analysis of the principles and positioning of the MCP protocol, explaining how it delivers context to large language models (LLMs) through standardized communication with applications. It also explores the team behind DARK, MtnDAO, and how the founder, Edgar Pavlovsky’s strong execution capabilities and the team's future outlook could potentially drive up the token’s price.

Genesis Launch introduces a fairer and more transparent launch platform for AI agent projects through a contribution point–based access system, on-chain traceable distribution logic, and an automatic refund mechanism that protects participant interests.

Metis is reshaping the Layer2 growth narrative by focusing on AI infrastructure. Through the Metis SDK and LazAI protocol, it is building an “AI-native execution layer” and exploring new paradigms of on-chain AI data sovereignty and value distribution.

Discover SwarmNode, a serverless AI agent deployment platform powered by the SNAI token. Learn how it simplifies cloud-based agent orchestration, reduces costs, and empowers developers with scalable, real-time automation tools.

Explore the architecture, applications, and market potential of Decentralized Physical AI (DePAI)—from autonomous vehicles and collaborative robotics to distributed data markets. Discover how robots operate within the Web3 ecosystem and uncover emerging investment opportunities.

Recall is a groundbreaking decentralized platform that leverages blockchain technology to create a new framework for AI agents, enhancing collaboration and providing economic incentives. It tackles challenges in traditional AI systems related to data transparency, trust, and collaboration, paving the way for the growth of the AI agent economy.

The intersection of AI and crypto has always been a narrative brimming with potential. Blockchain's decentralized nature perfectly complements the efficiency gains brought by artificial intelligence, inspiring countless developers to invest heavily in this vision. Tools like DeepSeek are leveraging human-like content generation technology to accelerate Web3 cultural content production automation. This opens up vast new opportunities for value creation in the Web3 content creation space.

Explore how Fraction AI is transforming AI development with decentralized platforms, competitive training sessions, and advanced fine-tuning techniques, making AI creation more accessible and collaborative.

This article explores cutting-edge solutions in the field of AI verifiability in 2025, with an in-depth analysis of six major projects: EigenLayer, Hyperbolic, Mira, Atoma, Fortytwo, and Lagrange. These initiatives adopt diverse technical approaches—including Proof-of-Sampling (PoSP), Trusted Execution Environments (TEEs), and Zero-Knowledge Proofs (ZKPs)—to address the challenge of AI output trustworthiness. Each solution offers unique advantages and is suited to specific use cases, collectively advancing the development of decentralized AI infrastructure.