IoTeX Partners with Eliza Labs to Advance Physical AI
Thursday, January 9, 2025 5:58 PM
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Provider of modular infrastructure for decentralized physical infrastructure network (DePIN) projects, IoTeX announced a partnership with Eliza Labs to empower autonomous AI agents with the ability to perceive and interact with the physical world through DePIN networks. This collaboration aims to bridge the gap between digital intelligence and real-world sensory input and interaction, accelerating the development of sentient AI.
The partnership combines IoTeX’s DePIN infrastructure with ElizaOS, enabling AI agents to utilize real-time data and services from DePIN networks while controlling physical devices within decentralized environments. By integrating sensory input and actuation capabilities, the collaboration will transform AI agents into context-aware, adaptive entities capable of interacting with the physical world. IoTeX’s DePIN ecosystem, including Nubila and GeodNet, will provide crucial real-time atmospheric and geospatial data, while Pebble Tracker will collect verifiable real-world data like GPS, temperature, and motion.
The collaboration also focuses on advancing Physical AI through key areas of collaboration, including the integration of the DePIN Plugin for Eliza OS. This plugin will allow Eliza agents to access and process real-world data from IoTeX’s DePIN networks, enhancing their perception, action, and learning capabilities. The creation of the first DePIN-aware AI Agent, BINOAI, powered by Eliza OS and IoTeX, will demonstrate real-world perception and interaction, marking a significant milestone in the evolution of Physical AI. Additionally, the partnership aims to enhance agent contextual awareness with DePIN data and services, enabling predictive capabilities and adaptive behaviors based on historical and real-time data.
Furthermore, the collaboration will empower developers by providing early access to IoTeX’s modular DePIN tools through Eliza Labs’ Agent Dev School. This initiative includes workshops, tutorials, and technical resources to assist developers in integrating DePIN functionalities into AI agent workflows.
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