Many believe the future of blockchain and AI will likely be intertwined. It's important to take a closer look at how they may interact in the future.
Decentralized data exchanges aim to create a new data economy running on top of blockchains. These exchanges would make data and storage available for anyone to easily and securely access. In connecting to this data economy, AI algorithms could use a larger set of external inputs and learn faster. On top of this, the algorithms themselves could also be exchanged in these marketplaces. This would make them more accessible to a wider audience and could speed up their development.
Decentralized data exchanges have the potential to revolutionize the data storage space. Essentially, anyone would have the ability to rent out their local storage for a fee . In turn, existing data storage service providers would have to improve their services to stay competitive. Some of these data marketplaces are already up and running, though they are in their early stages of maturity. By incentivizing data and storage providers to maintain high data integrity, AI systems will also benefit.Training AI doesn't only require quality data from which the algorithms can learn but also a lot of computing power. AI algorithms often use a type of computing system known as an artificial neural network . ANNs learn to perform tasks by considering a lot of examples.
If data can be shared across a blockchain network, why can't compute power? In some blockchain implementations, users can effectively lend their machines’ computing power in amarketplace for those seeking to execute complex computations. The users are incentivized to provide computing power by getting tokens in return.
AI systems could be trained on these computing platforms much more effectively and with decreased cost. While early use cases deal primarily with rendering 3D computer graphics, the focus might slowly shift towards AI.develop, companies that provide computing power may see an influx of competition. By allowing users to earn revenue by renting out their idle computing power, large amounts of it will be used more efficiently.
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