Mens sana in corpore sano: a healthy mind in a healthy body. So far, engineers have developed artificial intelligence and robotic bodies independently. But to achieve a healthy artificial mind in a healthy robotic body, the development will need to be done holistically, says Caltech's Anima Anandkumar.
Anandkumar presented her vision for the future, as well as the challenges that must be overcome to achieve it, in her September 23 presentation at the "World's Top 50 Innovators 2019" event at the Royal Society, London.
Anandkumar, Bren Professor of Computing and Mathematical Sciences and the director of machine-learning research for the computing technology company NVIDIA, has been working with the Caltech Center for Autonomous Systems and Technologies (CAST) on embodied intelligence projects, including on a recent project that employs a deep neural network to help drones learn to land more smoothly. That project, a collaboration with Bren Professor of Aerospace Soon-Jo Chung and Assistant Professor of Computing and Mathematical Sciences Yisong Yue, uses machine learning to compensate for ground-effect turbulence.
In her talk for the Royal Society, Anandkumar described the current state of the art in the field and the challenges that engineers still have to overcome.
