According to Foresight News, NEAR co-founder Illia Polosukhin participated in the NVIDIA GTC conference, where he shared the latest research developments of NEAR AI in confidential machine learning and decentralized AI computing. The new cloud approach is designed to train, fine-tune, and utilize AI models and agents while addressing several key challenges. These challenges include privacy, allowing users to use AI models without disclosing personal data to the entity hosting the model; open-source, ensuring models are open, transparent, and verifiable; sustainable economy, enabling model creators to earn income from their work even in a decentralized environment; and community collaboration, allowing groups to jointly develop AI models, sharing costs and profits without requiring absolute trust among participants.
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According to Foresight News, NEAR co-founder Illia Polosukhin participated in the NVIDIA GTC conference, where he shared the latest research developments of NEAR AI in confidential machine learning and decentralized AI computing. The new cloud approach is designed to train, fine-tune, and utilize AI models and agents while addressing several key challenges. These challenges include privacy, allowing users to use AI models without disclosing personal data to the entity hosting the model; open-source, ensuring models are open, transparent, and verifiable; sustainable economy, enabling model creators to earn income from their work even in a decentralized environment; and community collaboration, allowing groups to jointly develop AI models, sharing costs and profits without requiring absolute trust among participants.