Mechanical Intelligence
ABSTRACT
In our lab, we study a lot of biological systems, conduct physical abiotic experiments, and formulate theoretical expressions to understand these systems. We lay out a combined theory meets biology meets table top experiments - to explicitly lay a plan to reach at a generic theory of mechanical intelligence. This work will open a new vista in the field of computing, but also allow us to build applications that merge computing and matter in a way that has not been possible before.
The proposal weaves both theory, physical experiments and biological explorations - all at the service of the other - in an iterative manner. We are neither trying to mimic biology, nor purely pursuing questions to answer a specific biological function. Instead, we are utilizing each of these three approaches (theory, physical abiotic experiments, biological analogous) as platforms to arrive at a general framework for mechanical intelligence.
BIG QUESTION
“Is a generic theory of mechanical intelligence feasible?”
Project status
Active
Project is funded by Stanford Human-Centered Artificial Intelligence (HAI) Research.
