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Raphael Thys
AutoFarm releases AutoLabs to research, develop and integrate AI into AutoFarm’s products
We are thrilled to announce that Autofarm, the leading lowest fee multi-chain DEX & yield aggregator protocol, is set to integrate advanced Artificial Intelligence (AI) and Machine Learning (ML) technologies to revolutionise yield generation and scalability on the platform.
Decentralized Artificial Intelligence Finance, Ai-Fi, is here
AutoFarm has established AutoLabs, an in-house research division dedicated to exploring the integration of advanced AI/ML technologies. A specialised AI architecture team, comprising experts from various AI backgrounds, has been assembled within AutoLabs to lead this initiative. The goal of this internal research division is to empower Autofarm’s products with the ability to analyse real-world data dynamically, identify profitable opportunities, and make autonomous decisions for optimal asset allocation across multiple blockchain networks.
One key technique that Autofarm plans to implement is the use of oracles to bridge on-chain and off-chain data. These oracles will gather real-time information about the various chains and tokens supported by Autofarm, enabling the platform to make data-driven decisions on where to allocate user assets for maximum yield.
In particular, Autofarm will be exploring the integration of AI/ML algorithms in its AutoFarm Vaults, a yield optimizer platform that pools gas costs through battle-tested smart contract code and best-in-class yield optimization strategies. These algorithms, such as quantum-inspired, deep learning, and neural language processing, will be used to identify the most profitable chains and tokens in real-time, thus improving the yield optimization mechanism.
Additionally, Autofarm intends to utilise AI/ML techniques to optimise liquidity pools on the DEX for enhanced trade execution, thereby increasing the scalability of the platform and reducing the risk of holding crypto assets. Automated investment strategies, powered by AI/ML algorithms, will also be introduced to help users maximise returns in the fast-paced world of DeFi. These AI models, trained on large amounts of market data, will be able to predict changes in token prices, perform efficient asset allocation, and predictively model asset management strategies, potentially resulting in higher returns.
Lastly, Autofarm is also exploring the integration of these AI and ML technologies to its DEX aggregator, AutoSwap. The goal is to use AI and ML algorithms to optimise trade execution and find the best prices from multiple DEXes, resulting in the lowest slippage possible and non-front-runnable and non-arbitrageable trades for users.
Overall, the integration of AI and ML technologies into Autofarm is a significant step forward for the DeFi space, and we are excited to be at the forefront of this innovation. Our team is committed to researching and implementing these technologies to provide our users with the best yield farming experience possible. We look forward to continuing to create a more profitable and efficient yield farming ecosystem.
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