Learn about AIPad in one article: Encrypted Launchpad focused on artificial intelligence projects

As the two hot technologies of artificial intelligence and blockchain expand and apply in various fields, departments and industries, production efficiency is improved, income sources are more diverse, repetitive tasks begin to be automated, and manual supervision of common and complex tasks It's not even necessary anymore.

The recent convergence of innovations has spawned a new wave of more powerful projects that leverage blockchain and AI technologies to provide users with a wealth of utility.

Among them, the generative NFT with the help of AI algorithm is one of the most popular examples of AI and blockchain fusion. These algorithms are typically trained in various styles and techniques and then used to generate artistically styled NFTs.

A prime example of generating NFTs is Larva Labs' Autoglyphs. This is a collection of 512 glyphs, created by the AI ​​generator using only simple ASCII symbols. Since its release in 2019, the NFT marketplace has seen an explosion of generated NFT collections, including Art Blocks, Lost Poets, and Solvency, among others.

Among other things, Alethea is one of the first projects to create what it describes as "smart" and interactive NFTs. The platform recently launched CharacterGPT — which uses multimodal AI to generate 3D characters from simple text prompts.

In addition to generating NFT collections, many blockchain projects are utilizing AI for more practical applications. One of the most common approaches is using artificial intelligence to power a range of new decentralized financial products and applications.

Several projects and companies are now using artificial intelligence to find spot trading opportunities, as well as automate investment and trading strategies. This includes DefiLabs, which uses blockchain-based data to train AI to automatically manage assets and improve trading profits, and Zoidpay, which is building AI-based lending and risk management products.

Other projects are looking to incorporate AI on a deeper level. This includes Velas, which is working on a technology called "AIDPOS" to automatically optimize performance and security while reducing fees, and BitTensor, which is building a blockchain-based machine learning network that will provide Powered by a decentralized marketplace for artificial intelligence.

CryptoGPT is a project that builds ZK layer-2 around artificial intelligence - and provides an SDK that developers can use to easily plug AI capabilities into their applications to help users selectively integrate their usage Data monetization.

And SingularityNET is arguably one of the most popular AI-centric blockchain projects. The core mission of the platform is to develop artificial general intelligence (AGI). It hopes to achieve this by providing a blockchain-based platform through which AI can collaborate and AI tools and agents can be easily bought, sold and shared.

But not all blockchain/AI fusion work is progressing as planned, and many projects are stillborn before they come out.

A project called DEEP AERO has promised to use artificial intelligence and blockchain to power low-flying autonomous drones. Despite raising a whopping 135,000 ETH during its 2018 ICO, the project is no longer operational.

Since the beginning of 2023, cryptocurrency and blockchain projects with artificial intelligence as the core concept have been on a meteoric rise.

In January 2023 alone, the average growth rate of the top three AI projects exceeded 150%, about five times higher than the market average in the same period. Since then, most notable AI projects have continued their upward trajectory.

The reasons behind this growth are clear: the rapidity and proliferation of traditional AI applications (particularly GPT-3, Midjourney, and most recently ChatGPT), and the huge wave of buzz and excitement surrounding the future of the technology has caused great interest among large tech companies. interest. Understandably, there have been some spillover effects in the blockchain AI space.

As a result, the vast majority of established blockchain + AI projects have performed well in recent weeks — although most are still well below their all-time highs. For example, Graph (GRT) is still down over 90% from its February 2021 all-time high.

Some argue that this recent momentum is merely a blip rather than due to a change in the fundamental utility and value of these projects.

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AI-Driven Crypto Projects

The AI ​​+ blockchain space is currently dominated by a handful of large companies — the largest of which have a market cap of over $100 million. Currently, only three of the top 100 cryptocurrency projects by market capitalization have an AI element.
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• The Graph (GRT)

Currently the largest artificial intelligence crypto project by market capitalization, The Graph is a platform that indexes data from a wide range of blockchains. The platform uses AI to more efficiently index and retrieve this data, helping to power the next generation of decentralized applications (DApps). The Graph recently awarded a $60 million grant to Semiotic AI, which is now conducting research and development to explore how AI can be used to enhance The Graph's capabilities.

• SingularityNET (AGIX)

SingularityNet is one of the first projects to integrate blockchain and AI technologies by providing a decentralized platform for AI services. It allows AI developers and businesses to monetize their algorithms and models while enabling end users to access and use AI services in a decentralized and secure environment.

• Ocean Protocol (OCEAN)

Ocean Protocol is a decentralized platform that enables secure and transparent data exchange for artificial intelligence (AI) and machine learning (ML) applications. It leverages blockchain technology and smart contracts to provide a secure environment for data providers to monetize their data while maintaining control over its use.

• Fetch.AI (FET)

Fetch AI is one of the most famous projects applying AI and blockchain, Fetch AI uses these two emerging technologies to power a series of autonomous agents - which can be used to improve and scale various industries. The platform aims to create an open and interoperable network where data and services can be easily accessed and monetized, helping to drive new economic growth and business models.

• Numerai (NMR)

Numerai uses artificial intelligence to power decentralized crowdsourced hedge funds. AI models from around the world are trained on encrypted financial data to make predictions. These models are then combined to make predictions for trading in global financial markets. Network participants are incentivized through a token reward system, allowing for a democratic distribution of profits.

At least 100+ blockchain projects now leverage artificial intelligence to some extent. Some of them have focused on AI from the beginning, while others have recently incorporated AI into their roadmap or upcoming applications.

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What is AIPad?

Currently, many of the largest and most established traditional AI companies are privately held — only investors can participate in their private financing rounds, otherwise it is difficult to reach them or participate in them.

At the same time, AI-powered blockchain projects are often monopolized by VCs and high-profile angel investors, who are able to invest in seed and private placement stages to get the best terms and prices.

This leaves retail investors with limited options for investing in early-stage blockchain AI projects other than buying after listing on the spot market or speculating on them through derivatives or cryptocurrency index funds.

To help decentralize these new investment opportunities, the same team behind Launchpad BSCPad and GameZone created AIPad.

The new Launchpad focuses on AI projects built on blockchain technology and uses a tier-based distribution model to allow AIPAD token holders to participate in IDO and private placement rounds for these projects. In addition to hosting IDOs for AI projects, the platform leverages OpenAI's chatbot technology to support visitors and users.

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Upcoming Artificial Intelligence Encryption Project

The blockchain industry is developing rapidly. Whenever a new technology demonstrates great potential and capabilities, developers and entrepreneurs are often quick to innovate and develop new business ideas and use cases.

As a result, next-generation AI projects are being developed all the time, some of the most prominent ones include:

• CryptoGPT

The upcoming ZK layer 2 will allow users to monetize their data quickly and easily. The platform introduces the concept of data capsule NFTs, which are on-chain data repositories that can be updated with new data and easily monetized through AI development requests. The platform will provide users with an easy launcher that can be used to capture, store and monetize data from various applications.

• AI Arena

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• Bittensor

Bittensor hopes to bring a decentralized AI market system to the Polkadot ecosystem. The platform aims to help facilitate the commoditization of artificial intelligence by providing an open-source repository of machine intelligence distributed on the blockchain.

• HyperCycle

Teamed up from SingularityNET, HyperCycle is a layer 2 blockchain designed for highly scalable and accessible decentralized AI applications. It will launch using Cardano's Hydra sidechain framework and leverage SingularityNET's Proof of Reputation (POR) system and TODA data structure.

• PLAI Labs

PLAI Labs bills itself as a "next-generation social platform" that aims to leverage artificial intelligence, blockchain technology, and gamification to create a new social gaming experience. The company is creating a new platform that combines combat and trading gameplay into one long storyline.

• Rejuve Network

The project aims to use artificial intelligence to collect, analyze and evaluate users' health data to provide research-based health and longevity recommendations. It will use artificial intelligence to create a mechanical simulation of the human body that can be studied and tested by AI agents and researchers to generate health advice and preventive measures.