homenews ” Munich AI Lecture: Daniela Rus on the future of AI and robotics

Munich AI Lecture: Daniela Rus on the future of AI and robotics

Learning from the threadworm – and thinking a new class in artificial intelligence: Daniela Rus, a guest at the Technical University of Munich on July 15, presented her visions for the use of Liquid Time-Constant Networks in the Munich AI Lectures scientific lecture series. One of their main goals is to give robots physical intelligence – through new ways of thinking, new designs and new types of robot learning.

Form follows function – thinking new ways in intelligent robotics

Rus, who is also an international member of the AI Council, is working on various levels to break away from familiar robotics paths, for example in shaping. The “movement” task can range from the construction of a gelatinous mass to a table with worms underneath. Or the other way round: the starting point can be a photo of a rabbit, which is graphically simplified in three dimensions and then reassembled in connected slices. This robot form can actually perform jumping movements on command.

Expanding the boundaries of today’s artificial intelligence

Rus believes that current AI research will soon reach the limits of computing. Their approach to AI training lies not in the methods, but in their evaluation. Despite all the technical and social challenges of AI, the Director of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) remains very optimistic: “Human-led artificial intelligence holds the best developments for humanity and planet Earth in terms of positive developments.

Daniela Rus also published a book on the subject in March of this year, “The Heart and the Chip: Our Bright Future With Robots”, published by W. W. Norton & Company.