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Top 3 Crypto Tokens That Bridge the Gap Between AI and Blockchain
Crypto tokens can bridge the gap between AI and blockchain by leveraging the unique attributes of both technologies. Blockchain’s decentralized and immutable ledger ensures that the data used by AI models is secure and tamper-proof.
Cryptographic tokens can be used to incentivize the accurate and honest presentation of data, ensuring that AI systems have reliable, high-quality inputs.
A smart contract could automatically pay for the use of a dataset when an AI model accesses it, streamlining operations and reducing the need for intermediaries.
Here are the three best crypto tokens that connect AI and blockchain and an in-depth look at how artificial intelligence influences cryptocurrencies.
1. Rendering (RNDR)
Despite losing about 10% over the past seven days, Render is up 11% today. Render Network allows users to access decentralized GPU rendering power for various tasks, including AI model training and rendering complex graphics. Using blockchain technology, Render guarantees a transparent, secure and efficient market for rendering services.
The RNDR is used as a currency within the network to pay for rendering jobs. This incentivizes GPU owners to share their resources, providing a decentralized pool of computing power that AI developers can draw on for tasks like training machine learning models.
2. Fetch.ai (FET)
Fetch.ai introduces autonomous economic agents, intelligent digital entities capable of performing tasks, making decisions and interacting autonomously. These agents can represent individuals, companies or machines and use artificial intelligence to optimize their operations and make autonomous decisions.
Fetch.ai manages a decentralized market where agents can directly exchange services and data. This market allows for efficient and decentralized exchanges of resources and services. The token added 16% to its price today, but lost 18% last week.
3. Akash Network (AKT)
Akash Network offers cloud computing infrastructure that developers can use to deploy and run AI models. This reduces dependency on centralized cloud providers and enables more flexible, scalable and cost-effective computing power.
Akash Network uses AKT to incentivize participants. Resource providers are rewarded with AKT tokens for renting their idle computational resources, while users pay for these services with the same tokens. This creates a decentralized economy where AI developers can access affordable computing power.
Smart contracts on Akash Network automate the process of buying and selling computational resources. These contracts ensure transparent, trustless transactions, making it easier for AI developers to acquire the resources they need without interference from intermediaries. AKT rose 13% today and fell 11% last week.
AI token price movements
Apple shares lost nearly 2% when the tech giant has unveiled its unremarkable artificial intelligence plans on June 10th. The ripple effect has trickled down to AI-related cryptocurrencies, which have underperformed compared to the broader digital asset market. They are all reversing losses.