When AI Escapes the Data Center

Daniela Rus wants to put AI in your pocket, your car, and your dishwasher. In fact, she has already started. As one of the world's leading AI and robotics researchers, she is building a future where artificial intelligence doesn't live in a distant data center but runs quietly and efficiently on the devices around you. The key is liquid networks, AI models inspired by a tiny worm that gets by on just 302 neurons and that are up to 1,000 times more energy efficient than traditional approaches. Daniela joins Hakeem to explore what that shift actually means: for self-driving vehicles, for privacy, for security, and for the possibility that everyone could soon have offline access to powerful AI. 

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Guest Bio:

Daniela Rus is a computer scientist and roboticist at MIT, where she serves as Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL). Her research focuses on the science and engineering of autonomy, including the development of new AI models, and physically intelligent systems. She is the co-founder of Liquid AI, a startup bringing energy-efficient on-device AI models to real-world applications.