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How MIT’s Liquid Neural Networks can solve AI problems from robotics to self-driving cars


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In the current artificial intelligence (AI) landscape, the buzz around large language models (LLMs) has led to a race toward creating increasingly larger neural networks. However, not every application can support the computational and memory demands of very large deep learning models. 

The constraints of these environments have led to some interesting research directions. Liquid neural…



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