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aelf Launches $50 Million Fund to Integrate AI into Blockchain Ecosystem

aelf, a Singapore-based blockchain startup, has announced the establishment of a $50 million ecosystem fund aimed at advancing the integration of artificial intelligence (AI) into blockchain technology.

The initiative signifies a strategic move by aelf to transition from being a decentralized network to a dynamic ecosystem enriched with cutting-edge AI models. Through its investment arm, aelf Ventures, the company plans to deploy the Ecosystem Fund to support innovative AI initiatives seeking blockchain enablement.

According to a blog announcement on April 12, aelf will focus on strategically deploying the fund to foster AI blockchain innovation. This includes providing support for projects and initiatives that aim to leverage AI capabilities within the aelf blockchain environment. The investment will facilitate the development of developer-friendly toolkits, empowering the community to utilize new technologies for various purposes such as data pre-processing, model training, and deployment.

While the specific funding criteria have not been disclosed, it is evident that existing projects and games on the aelf blockchain are gearing up to integrate AI capabilities. This move underscores the growing interest among companies in exploring the synergy between blockchain and AI technologies.

The announcement comes in the wake of a partnership between Aptos Labs and io.net to enhance access to scalable GPU resources, with a focus on improving AI and machine learning capabilities. As part of this collaboration, Aptos Labs and io.net are working together to develop AI models and products for eventual deployment on the Aptos blockchain network.

With the establishment of the $50 million Ecosystem Fund, aelf is poised to play a pivotal role in driving innovation at the intersection of blockchain and artificial intelligence. Through strategic investments and support for AI initiatives, aelf aims to create a vibrant ecosystem that leverages the transformative potential of both technologies.

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