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Liquid AI's Ramin Hasani on liquid neural networks, AI advancement, the race to AGI & more! | E1928

This Week in Startups

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Neural Networks and Autonomous Driving

This chapter explores an autonomous driving system powered by neural networks designed for lane keeping, comparing a traditional neural network with 500,000 parameters to a more efficient liquid neural network using only 19 neurons. It discusses how these models, inspired by simpler biological systems like worms, can lead to significant advancements in AI, enhancing decision-making capabilities and efficiency. The chapter highlights the implications of these innovations for applications in various fields, including finance and healthcare, while emphasizing the evolution of AI architecture.

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