PERSON
Daniela Rus
The roboticist who insists that intelligence is incomplete until it can touch the world—director of MIT’s CSAIL, pioneer of soft robots, liquid neural networks, and the disciplined conviction that the chip will always need a heart to tell it what is worth doing.
Daniel Rus has spent her career refusing the most seductive assumption in artificial intelligence: that intelligence is something that happens on a screen. Director of MIT’s Computer Science and Artificial Intelligence Laboratory—the largest research laboratory of its kind in the world—she has insisted for three decades that the field’s real frontier is not bigger language models but what she calls
physical intelligence: the capacity to act competently in the messy, unpredictable, three-dimensional world that a toddler navigates without effort and that our most powerful AI systems still struggle to enter. Her machines swim in coral reefs, navigate city canals, fold themselves into new configurations, and steer vehicles with nineteen neurons—because she understood, long before it was fashionable, that the gap between a system that can describe the world and one that can act in it is not an engineering detail but a profound conceptual divide. Her invention of
liquid neural networks—small,