EVO-AI
  • πŸš€EVOAI AGENT Whitepaper
    • πŸ’“Abstract
  • 1.Project Vision
    • ❓1.1The Problem
    • β™“1.2 The Solution
    • πŸ’“1.3Why Now?
  • 2.Technology and Architecture
    • ♉Core Components
  • 3.Tokenomics
    • ♦️3.1 $EVO-AI Token
    • 😳3.2 Allocation
    • 🫁3.3 Token Utility
  • 4. Roadmap
    • Q1 2025: User Growth & Framework Stress Testing
    • πŸš€Q2 2025: Expansion of the AI Agent Ecosystem
    • Q3 2025: Token Generation Event (TGE) & Exchange Listings
    • Q4 2025: Enterprise Adoption & Ecosystem Leadership
  • 5. Strategic Partners
    • πŸ›»Strategic Partners
  • 6.Team & Advisors
    • πŸ§‘β€πŸ€β€πŸ§‘Team & Advisors
  • 8. Conclusion
    • 🚩Strategic Enhancement:
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  1. 6.Team & Advisors

Team & Advisors

Leadership Team

  • CEO: John Carter – Formerly a senior leader at Google AI, where he led the TensorFlow machine learning team. With extensive experience in deep learning frameworks and AI infrastructure, he brings a visionary approach to scaling AI solutions globally.

  • CTO: Dr. Emily Zhang – Holds a PhD in Distributed Systems, with a strong background in AI architecture and optimization. She previously worked at DeepMind, where she contributed to cutting-edge AI frameworks for large-scale neural networks.

Advisory Board

  • Andrew Ng – A world-renowned AI pioneer, co-founder of Google Brain, and founder of DeepLearning.AI. His expertise in AI education, research, and industry applications provides invaluable guidance for the company’s strategic direction in AI innovation and adoption. ​

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