Liquid AI Raises $250M to Develop Efficient AI Models

Liquid AI, co-founded by Daniela Rus, secured $250 million to develop liquid neural networks, a more efficient type of AI model.
Liquid AI Raises $250M to Develop Efficient AI Models
Liquid AI, an AI startup co-founded by robotics expert Daniela Rus, has raised $250 million in a Series A funding round led by AMD. This investment values Liquid AI at over $2 billion, according to Bloomberg. Liquid Neural Networks: A New Approach to AI Liquid AI is focused on developing general-purpose AI systems powered by liquid neural networks. These networks differ from traditional AI models by using equations to predict the behavior of individual "neurons" over time. This architecture allows for more flexibility and is inspired by the neural structures found in roundworms. Liquid neural networks are significantly smaller than conventional AI models and require much less computational power to operate. This efficiency is the primary focus of Liquid AI, which aims to tailor these networks for applications in various industries, including e-commerce, consumer electronics, and biotech. Partnership with AMD As part of AMD's investment, Liquid AI will collaborate with the …

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