Blockchain experiment results in swarm of decentralized learning robots
The research focused on securing the machines against physical and cyber-attack while maintaining their decentralized learning capabilities.
A team of scientists in Belgium may have solved one of the biggest challenges in the field of AI using a blockchain-based, decentralized training method. While the research is still in its earliest stages, its potential implications could range from revolutionizing outer space exploration to posing an existential threat to humanity.
In a simulated environment, the researchers developed a way to coordinate learning between individual, autonomous AI agents. The team used blockchain technology to facilitate and secure the agents’ communications, thus creating a decentralized “swarm” of learning models.
The individual training results for each agent in the swarm were then used to develop a larger AI model. Because the data was handled via blockchain, this bigger system benefited from the swarm’s collective intelligence without accessing any of the individual agents’ data.
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Author: Tristan Greene
