The ability to convert text into images and images into robots accelerates the innovation cycle by reducing time and resources for prototyping. By training AI with physical data obtained through sensors on humans performing tasks, machines learn to replicate human actions, leading to robots that move gracefully, adapt, and learn - embodying physical intelligence.
The convergence of AI and robotics will unlock a wonderful new world of possibilities in everyday life, says robotics and AI pioneer Daniela Rus. Diving into the way machines think, she reveals how "liquid networks" — a revolutionary class of AI that mimics the neural processes of simple organisms — could help intelligent machines process information more efficiently and give rise to "physical intelligence" that will enable AI to operate beyond digital confines and engage dynamically in the real world.