Machine Reasoning and Abstraction

To begin, we recommend watching a brilliant video produced by DARPA (below), which cuts through all of the AI hype clutter to clearly articulate how demonstrated machine intelligence has evolved along with its shortfalls.

In summarizing AI capabilities, we may observe that perception and learning capabilities matured during the second wave of development. The hard reasoning that exhibited progress in the first wave simply lost out due to its limitations. We may also witness that the learning feature can deliver erroneous outputs, even after training over 1M data sets, which occurred in the case of a panda being mistaken for a gibbon.