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This Week in Startups

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

Apr 9, 2024
Ramin Hasani, CEO and co-founder of Liquid AI, dives into the world of liquid neural networks, drawing inspiration from the adaptability of worms. He discusses practical applications in fields like autonomous driving, showcasing how these networks can outperform traditional models with far fewer parameters. Hasani highlights the transformative potential for AI efficiency on compact devices and emphasizes the importance of responsible development in the race toward artificial general intelligence. Tune in for insights that blend biology with cutting-edge technology!
01:03:36

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Quick takeaways

  • Liquid neural networks offer adaptable learning behavior inspired by biology and physics.
  • Liquid AI's focus on efficiency in compact devices like Raspberry Pi and transformative potential of worm-inspired AI.

Deep dives

Advancing AI Through Liquid Neural Networks

Liquid AI focuses on designing AI systems using liquid neural networks, rooted in biology and physics, towards creating more understandable and scalable artificial intelligence. These neural networks, inspired by the principles of biological nervous systems, offer adaptable learning behavior, allowing continuous updates to incoming inputs unlike fixed traditional AI systems.

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