If we could just get something at the level of the mind of a one-and-a-half-year-old into the robotic hardware that we already have, that would be incredibly useful as a technology.
PROFESSOR OF COMPUTATIONAL COGNITIVE SCIENCE, MIT
Josh Tenenbaum is Professor of Computational Cognitive Science in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology. He studies learning and reasoning in humans and machines, with the twin goals of understanding human intelligence in computational terms and bringing artificial intelligence closer to human-level capacities. He describes his research as an attempt to “reverse engineer the human mind” and to answer the question “How do humans learn so much from so little?”
MARTIN FORD: Let’s begin by talking about AGI or human-level AI. Do you consider that to be feasible and something that we will ultimately achieve?
JOSH TENENBAUM: Let’s be concrete about what we mean by that. Do you mean something...