There is a huge amount of work going on in AI chipping away, with varying degrees of success, at large numbers of sub-problems to do with vision, learning, memory, robotics, problem solving, planning, communcation, cooperative problem solving, pattern recognition, motor control, rule induction, data mining, etc. Some of it is never announced because it simply gets adopted into larger systems, e.g. plant control systems, configuration management tools, office management systems, interfaces to software systems or machines, etc. There's no sharp boundary between designs for systems that are and systems that are not intelligent. Among its applications should be not only the creation of useful machines but also provision of powerful explanatory ideas that can help us understand schizophrenia, emotional and motivational disorders, why educational programmes fail, etc. Restricting AI to what we now understand by computation would be as silly as restricting physics 200 hundred years ago to what could be expressed using the mathematics available at that time.
Computation is just a tool, and tools can change.
It is silly to define a scientific activity by the tools it happens to use at a particular time, even if the tool provided a tremendous increase in power when it became available. In fact all sorts of additional tools have been used in AI robotics labs for as long as I can remember, e.g. various kinds of transducers, hardware-software tradeoffs in compliant wrists and other mechanical designs, etc. No doubt future AI robotic research will look at quantum computers, chemical mechanisms, etc. A recent addition, still in draft form, presents some ideas about the evolution of consciousness, consistent with the above framework.