Crunch Foundation leverages blockchain to connect AI researchers and Institutions while protecting both Intellectual Property and Data Privacy.
Our Platform facilitates distributed collaboration, enabling individuals and teams from around the world to contribute their unique skills and knowledge to solve our customers' problems.
Over the last two years, Crunch Foundation has attracted the best talents in AI.
The Foundation emphasizes transparency and ethical considerations in its operations. It ensures that data handling and contributor interactions adhere to high standards of integrity and openness, fostering trust among all participants.
The $CRUNCH, CF Platform's native cryptocurrency, follows a "burn and mint equilibrium model". AI Research Credits are sold for a fixed USD value, and corresponding tokens are burned from its 10.7M maximum supply.
The Token value accrual model is based on max limited supply of $CRUNCH and a growing demand in AI model procurement from the financial market. The role of the foundation is then to capture this value in order to grow, support the ecosystem and distribute part of it back to the ecosystem.
Each event features talks by industry professionals, open discussions, and networking sessions, facilitating knowledge sharing and creating opportunities for like-minded individuals to connect.
Paris, New York, Bangalore, London, Bandung & Abu Dhabi.
Our guest speakers, hailing from top companies and academia, are sheding light on the latest advancements, cutting-edge tools, and futuristic trends in machine learning and quantitative studies.
Integrating machine learning with causal inference equips researchers to unveil resilient, reproducible causal mechanisms. This synergy enhances decision-making in the ever-changing landscape of finance, providing a solid foundation for navigating complexities.
Market regimes, crash detection, and regime drift are crucial in quantitative finance. Understanding shifts in market behavior is critical to market stability. Machine learning models play a vital role in optimal decision-making while facing non-linearities.
The problem of decentralized AI involves balancing the need for transparency, especially in the context of blockchain technology, with the need for confidentiality to protect both institutional interests and Intellectual Property.
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This approach ensures that the DAO attracts the most talented researchers, regardless of their physical location. The Foundation framework ensures a secure and transparent environment for managing the $CRUNCH Token and the DAO.
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