#CryptoReboundStrategy
Near Protocol (NEAR)
Near Protocol focuses on incentivising a network of computers to operate a platform for developers to create and launch decentralised applications. It uses the process of sharding to split the network’s infrastructure into segments for nodes to only have to handle a fraction of the network’s transactions. Sharding is expected to be more efficient and requires less computing
Internet Computer (ICP)
Internet Computer (ICP)protocol gives us the power of limitless smart contracts to host data, computing, user experience and content, on-chain. It allows us to build tamperproof Web 3 social media, enterprise infrastructure, gaming
Render
Render is an Ethereum blockchain-based distributed GPU network that functions as an essential platform for animation, VFX rendering, and motion graphics. Its native token, Render (RNDR), serves as a utility token specifically designed for utilization within the Render network.
Graph GRT
The Graph is a decentralized, open-source protocol that utilizes distributed ledger technology to gather data independently, eliminating the need for intermediaries. This protocol functions as a worldwide APU (Application Programming Interface) designed to index and organize data efficiently. It leverages the GraphQL language to enable easy accessibility and processing.
Bittensor
Bittensor is an innovative open-source protocol that powers a decentralized machine-learning network built on blockchain technology. It facilitates a collaborative training environment where machine learning models work together, earning rewards in the form of TAO tokens based on the valuable information they contribute to the collective intelligence. Additionally, TAO enables external access,
Final Thoughts
The integration of blockchain and AI has spawned several AI crypto projects aiming to provide secure and efficient AI solutions within blockchain protocols. Each AI-powered project serves unique applications, from enhancing cloud computing services to enabling secure data sharing.
