AI Route Recommendation for Cross-Chain Blockchain Operations
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional systems for cross-chain cryptocurrency or crypto asset exchanges lack corresponding liquidity pools for new cryptocurrencies, leading to high latency, system downtime, and high transaction fees due to the lack of transparency and oversight in intermediary pools and bridges.
Innovation Solution
A recommendation engine that utilizes artificial intelligence models, such as neural networks, to determine the most efficient processing route for blockchain operations by filtering network routes based on processing characteristics like gas fee, throughput speed, and security, thereby reducing system latency and cost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional cross-chain bridge systems are used to perform cryptocurrency exchanges, then liquidity pools must be manually created for each cryptocurrency, but this leads to high latency, system downtime, and high transaction fees when new cryptocurrencies are introduced
Solution Approach 1:
The system automatically discovers and creates liquidity pools for new cryptocurrencies without requiring manual intervention. The AI model autonomously identifies new tokens, determines appropriate pool parameters, and deploys liquidity pools automatically, enabling the system to adapt to new cryptocurrencies while maintaining low latency and avoiding system downtime.
2Reliability
If conventional cross-chain bridge systems are used, then intermediary pools and bridges are required, but these lack transparency and oversight creating security barriers
Solution Approach 1:
The system implements continuous monitoring and verification mechanisms that provide real-time feedback on liquidity pool operations, transaction flows, and system state. This feedback loop ensures transparency by making all operations visible and verifiable while maintaining security through automated oversight and anomaly detection, eliminating the need for trusted intermediaries.
3Adaptability or versatility
If conventional systems struggle to find corresponding liquidity pools, then higher transaction fees and gas fees are incurred, but the system must still support diverse blockchain operations
Solution Approach 1:
The system proactively creates liquidity pools in advance for anticipated cryptocurrencies and blockchain operations. By preparing liquidity pools before they are needed and pre-configuring support for multiple blockchains, the system eliminates the need to search for existing pools at transaction time, thereby reducing transaction fees and gas fees while maintaining broad adaptability.
Data Source
AI summary
Methods and systems are described herein for recommending network processing routes when conducting blockchain operations. For example, the system may receive a first user request to perform a first blockchain operation across one or more computer networks to access a first blockchain asset. The system may then determine a first processing characteristic for the first user request and a first plurality of locations of the first blockchain asset (e.g., across the one or more computer networks). The system may then determine a first plurality of network routes to a first subset of the first plurality of locations. The system may then filter the first plurality of network routes (e.g., based on the first processing characteristic) to generate a first subset of the plurality of network routes. Based on the first subset of the plurality of network routes, the system may generate a first recommendation for performing the blockchain operation.