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, 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 AI Raises $250M to Develop Efficient AI Models

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 chip manufacturer to optimize its models for use with AMD's GPUs, CPUs, and AI accelerators. This strategic partnership will help bring Liquid AI's efficient technology to a wider audience.

About the author

mgtid
Owner of Technetbook | 10+ Years of Expertise in Technology | Seasoned Writer, Designer, and Programmer | Specialist in In-Depth Tech Reviews and Industry Insights | Passionate about Driving Innovation and Educating the Tech Community Technetbook

Post a Comment

Join the conversation