EdgeAI is a project that focuses on bringing artificial intelligence closer to where data is created, instead of relying completely on large cloud servers. This approach makes AI systems faster, more secure, and more efficient. By running AI locally on edge devices, the project helps reduce latency, protect user privacy, and cut down on energy use. The platform also allows people to share computing power from their own devices to help process AI workloads and, in return, earn rewards for their contributions.
The EdgeAI team is led by experienced professionals such as Olivia Chen, the Chief Operating Officer, and supported by others with Ivy League backgrounds and deep experience in both technology and business. They’ve established connections and partnerships with several well-known global tech and research organizations. Despite this strong foundation, EdgeAI is still a relatively quiet and emerging name within the Web3 and AI ecosystems — steadily building momentum and growing its community.
At its core, EdgeAI aims to make artificial intelligence more open, accessible, and decentralized. Instead of AI being controlled by a few large corporations, the project envisions a world where anyone can contribute computing power, train models, and benefit from the results. This decentralized edge network could support smarter cities, IoT devices, and future AI applications that need real-time decision-making.
If you’re curious to learn more, we’ll have the chance to speak directly with Olivia Chen during the upcoming AMA session.
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