• FLock.io secures the Ethereum Foundation grant, driving decentralized AI with innovative incentive mechanisms for secure blockchain integration.

• FLock.io partners with AI leaders, advancing the Proof of AI consensus and boosting the AI decentralized infrastructure sector.

• With a $6M seed round, FLock.io accelerates decentralized AI research, aiming to set new security standards in AI blockchain technology.

FLock.io, a Pioneer in decentralized AI (dAI), has received a grant from the Ethereum Foundation. The project, which focuses on federated machine learning on the blockchain, stands as the only AI infrastructure initiative to secure such funding. 

This grant will fuel FLock’s pioneering research into optimizing incentive mechanisms for smart contract-enabled blockchain solutions, enhancing the security and decentralization of AI model development.

https://twitter.com/flock_io/status/1830980842434236921 FLock.io Secures Ethereum Foundation Grant

Besides this achievement, FLock.io has also partnered with notable names in the AI computing field, including Akash Network and Hyperbolic Labs. These collaborations are set to revolutionize the AI decentralized physical infrastructure networks (DePIN) sector.

FLock's Proof of AI (PoAI) consensus, developed in partnership with ionet, simplifies the verification of DePIN nodes through compute-intensive AI training tasks. This innovation not only enhances the integrity of decentralized systems but also positions FLock.io as a key player in AI and blockchain convergence.

Moreover, FLock.io's $6 million seed round has solidified its position as a leader in Web3. The London-based startup, founded by Oxford graduates, is committed to empowering communities by shifting control away from centralized corporations. This grant from the Ethereum Foundation will accelerate FLock’s efforts to establish a secure and decentralized AI ecosystem.

Innovative Research and Future Impact

Significantly, FLock’s research will expand on its earlier work, notably the paper “Defending Against Poisoning Attacks in Federated Learning With Blockchain,” published in IEEE Transactions on Artificial Intelligence. This research, led by Dr. Zhipeng Wang and Jiahao Sun of Imperial College London, aims to create robust mechanisms that deter malicious behaviour in decentralized AI development.

Consequently, FLock.io is advancing AI technology and also setting new standards for security, trust, and computational integrity in the AI blockchain. As FLock.io continues to innovate, the AI and blockchain communities eagerly anticipate the outcomes of its research, which could redefine how decentralized AI systems operate on the blockchain.

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