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Decentralized AI Infrastructure of GaiaNet Expands with $10 Million in Funding

Firm constructs a distributed AI system for producing generative AI resources

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Decentralized AI infrastructure of GaiaNet escalates growth with $10 million in financing
Decentralized AI infrastructure of GaiaNet escalates growth with $10 million in financing

Decentralized AI Infrastructure of GaiaNet Expands with $10 Million in Funding

In a significant move, GaiaNet, a decentralised AI infrastructure platform, has announced the successful completion of a $10 million seed round. The investment round was led by EVM Capital, Mirana Ventures, Mantle EcoFund, Generative Ventures' Lex Sokolin, and Republic Capital's Brian Johnson.

The funds raised will be used to accelerate the development of GaiaNet's decentralised infrastructure for AI networks. A significant portion of these funds will also be allocated towards the development of educational tools for STEM students.

One of the key products being developed by GaiaNet is an AI-powered chatbot known as "teaching assistants". These chatbots are designed to aid university students studying computer science and other STEM subjects. GaiaNet is currently collaborating with the University of California Berkeley to develop these AI-powered teaching assistants for STEM students.

The collaboration between GaiaNet and the University of California Berkeley began earlier this year. This partnership aims to make AI more accessible, data bias-resistant, collaborative, and privacy-centric for students.

GaiaNet is also developing a distributed network of edge nodes controlled by businesses and individuals. This network is expected to provide AI users with more private and secure tools compared to what big-tech AI developers are offering.

It is important to note that GaiaNet is not a well-known, established provider of AI-based teaching assistants in the STEM field. While there are established projects by companies like Google and Microsoft, as well as specialised start-ups in cooperation with universities like Stanford, MIT Open Learning, or the German Research Center for Artificial Intelligence (DFKI), the current status suggests that GaiaNet may be a relatively new player in the EdTech sector.

For those specifically seeking AI-based teaching assistants for STEM or working at a university and aiming to establish a collaboration, it is recommended to:

  1. Establish contact with the Research Departments of major technology universities and AI centres (such as TUM, ETH Zurich, KIT, DFKI).
  2. Monitor initiatives in the Educational Technology (EdTech) and AI applications for the education sector.
  3. Regularly search in relevant scientific portals (such as ResearchGate, Google Scholar) for current publications.

For further information about GaiaNet, specific projects, or potential partnerships, please refer to current press releases or contact the company directly.

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