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Top 10 AI Blockchain Projects

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There's a lot of excitement surrounding the top 10 AI-powered blockchain projects, and for good reasons. Artificial Intelligence (AI) has been proven to increase efficiency and lower user workloads. These attributes are shared with blockchain technology. As such, it is no surprise to learn the two technologies have become interwoven.

Today, there are more AI-powered cryptocurrencies than ever, and the market continues to expand rapidly. Here are the top 10 blockchain AI projects you need to know.

1. Ocean Protocol

The Ocean Protocol is one of the most recognizable AI-powered blockchain platforms in operation. This decentralized AI data-sharing marketplace empowers users to monetize data streams via a P2P exchange. Notably, data sets are a crucial component in training AI systems. In the past, this process was time-consuming and expensive, leading to slow AI development.

Ocean Protocol provides real-time access to a decentralized market where anyone can access crucial information to program and integrate AI effectively. Additionally, the system is set up to enable data offerings to be fully auditable by the community, ensuring quality and better performance from AI systems.

Ocean Protocol users enjoy unique benefits, such as finding fully compliant data sets that meet certain industry regulatory requirements. Network nodes in the Ocean Protocol ecosystem secure rewards when they publish, discover, and share data sets with the market. These rewards come in the form of the platform's utility token, OCEAN.

Ocean Protocol - AI Blockchain

Source: Ocean Protocol

Wisely, enterprise-grade encryption is used on data tokens to ensure all info remains private and secure. Also, data providers can sell the rights to access the off-chain data in various ways, including limited, as a service, and unlimited options. They can also decide if they want to host the data on their servers directly, adding flexibility. All of these options make the Ocean Protocol a project to keep an eye on moving forward.

2. The Graph

The Graph is an interesting project that seeks to help make sense of the growing blockchain sector through the use of machine learning. The platform launched its mainnet in 2020 following successful funding and testing. Today, the Graph is vital in helping systems access blockchain data faster.

The Graph remains a pioneering effort in the space that has benefited from its early entry into the sector. The network leverages purpose-built data enclaves called subgraphs. This data can be used to program AI systems faster and improve integrations. Impressively, there are currently +2300 subgraphs available for developers.

Subgraphs help index data from networks and create a secure bridge to deliver information freely between Dapps and blockchains. Each subgraph includes critical information such as events, amounts, and additional smart contract data. Notably, network nodes can provide this data and earn rewards in the form of GRT utility tokens.

The Graph is one of the top-performing AI projects leveraging Ethereum's ecosystem. It's open source and has been vetted by the community. Additionally, the system has already conducted +1B successful queries. These factors make The Graph a top contender in integrating AI and blockchain tech.

3. Render Network

The Render Network enables users to combine their unused computing power to create a decentralized rendering studio. This unique concept empowers content creators, graphic designers, and developers to save time, energy, costs, and computational power. Notably, rendering is the most computationally heavy part of these processes, making Render Network very useful to the market.

The introduction of AI-generated images has added to Render Network's relevance. The network recently introduced the Stable Diffusion feature, which leverages AI rendering. Users can explain in text the image they desire, and the system will create versions that meet those characteristics, leveraging Render's massive computing power.

The Render Network empowers users with idle GPUs to help improve the AI industry and secure rewards. As part of this strategy, nodes receive rewards based on the amount of computational power they contribute. Additionally, the system leverages smart contracts to automate all processes, ensuring transparency.

Render Network helps to solve some of the biggest issues facing creatives. As such, users can focus on their creativity rather than hardware needs. Additionally, the integration of AI adds to the usability of the entire system by streamlining the creation process down to text prompts.

4. SingularityNET

SingularityNET operates as a premier AI algorithms marketplace that entered service in 2017. The network was built to support AI innovation via a decentralized model. Consequently, developers can create, share, and sell their algorithms with other creatives seeking to leverage blockchain transparency and efficiency.

The SingularityNET enables developers to expand their innovative efforts by leveraging already proven algorithms. This approach creates a more democratic environment that can help bring together the scattered AI market. Consequently, SingularityNET helps to collect ideas, concepts, and new ways of integrating AI tech.

At the core of SingularityNET ‘s approach are secure APIs that streamline data integrations. Each integration adds to the data set, creating more value and improving AI results. To date, the network has been used in various sectors, including anti-counterfeiting, cloud robotics, biomedics, and cyber security.

SingularityNET enables AI developers to collaborate in ways that were previously impossible. In this way, the network provides a reliable infrastructure for the global AI market. These factors and the steady increase in interest in AI systems make SingularityNET a project with many eyes on it.

5. Theta Fuel

Theta Fuel entered the market in 2018 with the intention of providing a decentralized infrastructure to the entertainment, video, and AI sectors.  The system leverages the speed and security of the Theta Edge Network to improve performance and scalability. Today, Theta Fuel enables content creators to offer their products more democratically and efficiently.

Theta Fuel tackles some of the biggest issues facing streaming services. Centralized networks all have the same problem: they lose signal strength the further you are from the broadcast. However, decentralized streaming services like Theta Fuel become more powerful whenever someone joins the stream.

The focus on the streaming sector has made Theta Fuel a popular option in the market. Notably, The network secured $20M in a private token sale, demonstrating the demand for its services and growth potential.  These funds have helped the community and features of the network expand.

Theta Fuel is based in San Francisco and lives on the Ethereum network. Users gain the advantage of interoperability within the greater Ethereum ecosystem as a bonus. Already, Theta Fuel is operating on +75M devices, and analysts predict this growth will continue as more data-heavy services become the norm.

6. Bittensor

Bittsensor is a P2P decentralized marketplace that caters to Machine learning protocols. Machine learning AI is a subsector of the industry that leverages large algorithms to teach and improve results. As such, the platform helps to improve the machine learning sector in multiple ways.

For one, it reduces the workload for developing and improves collaborative efforts. Today, the machine learning sector is scattered with many projects on similar tasks. Bittensor enables these groups to leverage and improve on large data sets to create even more powerful AI.

Bittensor is an open-source project that rewards participants in the network's utility token, TAO. Notably, a participant's reward is based on the value of the data set they provide. Other users can purchase this data to increase efficiency and performance in their systems.

Bittensor miners solve machine-learning problems rather than equations to assist the network. This data is then combined to create a strong understanding of the text, image, or data input. The more data provided, the more accurate the machine learning algorithm.

7. Fetch.AI

Fetch.ai is another competitor in the machine learning marketplace sector. This project launched in 2017 and gained momentum for two years before hosting a successful IEO (Initial Exchange Offering) on Binance. Notably, Fetch.ai leverages a crypto economy to incentivize AI collaboration and innovation.

The network also integrates autonomous AI to ensure it operates smoothly. Developers can leverage the machine learning data sets to build and deploy next-gen Dapps that better serve the community. Also, those who provide machine learning data receive FET tokens based on their contribution level.

Source Fetch.ai - AI Blockchains

Source: Fetch.ai

Developers can easily integrate AI into their Dapps and platforms using the network's API. The API streamlines access to helpful features such as language models and automates basic features. Fetch.ai's focus on helping legacy systems upgrade to AI options is a smart approach that continues to pay off. Every integration leads to more data and improved performance.

Additionally, all Fetch.ai agents meet strict quality standards to ensure the network runs smoothly under congestion. In this way, Fetch.ai optimizes DeFi systems and much more.

8. Golem

Golem helps developers expand their creations using its decentralized technical infrastructure. The system enables users to offer their unused computational power to others for a small price. Notably, the platform gets its name from an ancient legend that refers to people creating an automated beast to protect them.

Golem has some distinct advantages over the competition. For one, the AI explains how it came to a certain conclusion. This information is rare as many AIs can hallucinate and come up with answers with no traceable logic. All Golem AI operations remain transparent and auditable, which makes them extremely helpful.

Today, Golam enables anyone to gain passive income by sharing their computing power openly and permissionlessly. The network is open source and has undergone multiple third-party audits. As such, it's one of the most secure options on this list.

Another cool aspect of Golem is its sustainability. The network's developers wanted to ensure their system was energy efficient. Thankfully, Golem achieved this goal and is now considered one of the most sustainable AI crypto projects.

9. AIOZ Network

The AIOZ network seeks to drive the AI and robotics sector to new horizons. The platform integrates state-of-the-art AI systems in conjunction with advanced robotics to create next-generation applications. This data is shared with the community, leading to improved future cooperation.

To cut time, developers can access a treasure trove of data, including research, frameworks, libraries, and models. Additionally, The AIOZ community includes professional AI developers and researchers who focus on helping promising projects integrate AIOZ services successfully.

Another unique aspect of AIOZ that's worth pointing out is the team's commitment to creating responsible AI. There is a lot of talk about AI going rogue and even eliminating humanity one day. AIOZ wants to keep that talk as fairy tales. As such, they promote responsible strategies that benefit society as a whole.

In the AIOZ ecosystem, network nodes secure passive income in many ways, from providing AI models, trading, distributing data, caching, routing, and even compressing video. You can also secure rewards by executing and hosting AI services or streaming media.

10. Numeraire

Numeraire focuses on leveraging AI to predict future stock market movements. The network enables data scientists to secure returns, providing info to the marketplace and community. Impressively, the system has already paid out +34M to data scientists and currently hosts 6,180 models.

This hedge fund management system enables developers to create models using Python and R scripts, which help with onboarding as both are popular languages. Users can choose stocks and make predictions to win rewards. You then stake your model to qualify for payments in the utility token, NMR.

It's worth pointing out that Numeraire has strong backing, including a co-founder of Coinbase and Union Square Ventures. It also has a community of data scientists and users who continue to benefit from the AI stock tips. As such, Numeraire is a great example of how AI and blockchain can cooperate to improve finance.

AI Blockchain projects – It's Just Getting Started

When you look at all of these exciting projects operating today, it should become obvious that this is just the start of the AI revolution. The security and efficiency of blockchain represent the perfect match for the utility of advanced AI systems. Together, these technologies could usher in a new age of tech for humanity in the future.

You can learn more about exciting blockchain projects here.

David Hamilton is a full-time journalist and a long-time bitcoinist. He specializes in writing articles on the blockchain. His articles have been published in multiple bitcoin publications including Bitcoinlightning.com