Cryptocurrency AI

Artificial intelligence has been attracting public attention for a number of years. In addition, the surge of interest in AI has increased the popularity of the cryptocurrency market. Most projects that use AI have seen tremendous growth, and AI cryptocurrency projects are becoming more and more well-known and in demand. What exactly artificial intelligence in cryptocurrency is used for, , as well as what projects are popular now, we will tell you in this article.

What are AI tokens for?

Purely theoretically, AI tokens are no different from conventional digital assets. A certain technical standard depends directly on the blockchain used. AI cryptocurrency has specific advantages for users. Specifically:

• Platform monetisation. AI tokens are used to pay for access to a project's product or services. For example, predictive modelling or data analysis. This makes it possible to build one's own economic model, in which providers and consumers of artificial intelligence services will participate without the use of third-party cryptocurrencies.
• Stimulation of users' participation in projects. Users invest in a project and receive tokens as bonuses. For example, through the provision of information.
• Decision making. Users can make important decisions and influence the development of the project.

Thus, absolutely all participants can influence the further development of the project and take an active part in its life.

Top 15 AI cryptocurrencies

There are some of the most popular artificial intelligence tokens, including:

The Theta Network

The idea was originally to create a decentralised video transmission platform. But Theta's EdgeCloud enables users to share their bandwidth and computational resources in order to significantly improve the efficiency and learning curve of AI cryptocurrency algorithms. The platform has two native tokens, THETA for management and TFUEL for transactions.

The Graph

It is software that has open source code for collecting, storing and processing data. This data can be from various applications and blockchains. The main goal is to make it easier for developers to find information. The information that The Graph provides provides an opportunity to train artificial intelligence and implement certain automated decision-making tools in the Web3 sphere. The service is integrated with platforms such as Aave, Curve and Uniswap.

Ocean Protocol

It is software for tokenising datasets, which enables information providers to monetise it and users can easily purchase it in the public domain. In the context of cryptocurrency artificial intelligence, Ocean Protocol makes it much easier for developers to access the data sets that are needed to train AI models.

OriginTrail

This platform uses blockchain and decentralised knowledge graph (DKG) technology. All this is done to manage, store and monitor data in the digital space. The platform applies AI in order to analyse information and identify anomalies. This makes it possible to identify potential disruptions and fraudulent activities.

Fetch.AI

This platform uses smart contracts to automate tasks using artificial intelligence agents that can interact with each other and learn from each other to improve their capabilities. In addition, the platform has introduced a framework. The latter facilitates the creation of AI-based agents for third-party developers.

Arkham

This project aims to increase the transparency of actions. It promotes the mass adoption of blockchain. The platform provides information about the on-chain activity of wallets and their owners by combining network and off-network data. The service uses its own AI ULTRA system to aggregate and analyse information from various blockchains and other sources. This makes it possible to get a holistic picture of a particular wallet.

Render Network

This platform allows owners of computing power to rent it to AI model developers. In exchange, they receive RENDER tokens. The service's resources play a key role in the process of training generative AI models and creating products based on them.

ChainGPT

This service integrates AI into various blockchain operations, including smart contract development, NFT generation, and crypto market analyses. In addition, the CGPT token plays a key role in the ecosystem. It is used to pay commissions and participate in project management.

SingularityNET

This service is necessary in order to build an open market for artificial intelligence tools and services. The programme was launched back in 2017, and it enables developers to create, share and monetise their AI models. AGIX is used as transaction tokens in the ecosystem of this platform and all related services.

Bittensor

This is a decentralised computing platform that many of you must have heard of many times before. It was created to run AI models. The platform makes it possible to run AI products based on a distributed infrastructure. The service helps to optimise the distribution of tasks and resources among all nodes in the network. In addition, the platform incentivises users to provide their capacity in exchange for TAO cryptocurrency.

Internet Computer

This platform aims to improve the efficiency, speed and decentralisation of computing and data storage. Initially, this service was not related to AI, but over time, the developers have released a set of tools that significantly facilitate the deployment of blockchain applications using artificial intelligence. All of this has made it possible to significantly increase transparency and user trust in AI models, and this implementation also helps validate inputs to create more decentralised, verified and reliable AI applications.

Injective

This platform has been implemented to serve the needs of the DeFi segment. It applies artificial intelligence for optimised order execution, strategy testing and predictive analytics.

NEAR

The service is designed as a cloud computing platform. It is managed by the community. This native token serves as a medium of exchange in the ecosystem and is mainly used by validators for staking. This service is distributed as bonuses in exchange for network maintenance. The platform team has also created the NEAR Tasks service, which provides training data, object labelling and various functions for artificial intelligence models. This makes the project as suitable as possible for artificial intelligence technology.

Akash Network

It is a decentralised cloud computing platform that works on the same principle as the Render Network, giving users the opportunity to monetise free computing resources. The main reason for creating the service is the need to provide a secure and censorship-resistant environment for running AI agents and models. Such a platform could well become an alternative to traditional data centres.

Golem

This service is another decentralised platform that monetises computing resources by allowing users to rent out their GPU and CPU power for tasks such as rendering, scientific modelling and machine learning. Golem uses a native GLM token for transactions on the network.

As you have already realised, there are many different projects and they all contribute to the development of artificial intelligence.

How to choose the best AI token to invest in?

Choosing an AI cryptocurrency to invest in is always challenging as the market offers us many different options. But investors need to study the following aspects before settling on one project:

1. Market potential. It can be difficult to make any forecasts. But we suggest that you assess the demand for the products and services that projects offer. You should make sure that the project has a competitive advantage and real potential for growth.
2. Team. The project should involve an active team of developers and consultants who have extensive experience in artificial intelligence.
3. White paper. You should study this document carefully before making a decision. This will help you understand the project's goals, how it will be implemented, and the development plan. In addition, there are many technical issues that need to be carefully considered.
4. Technical infrastructure. You should evaluate the reliability and scalability of the technical platform. It should support the right amount of data storage and ensure uninterrupted operation.
5. Liquidity. Familiarise yourself with the asset's price performance, liquidity and where it ranks among other assets.
6. Partnerships. The AI cryptocurrency platform should have well-known companies as partners. This shows the serious intentions of the service.