Humans already excel at those tasks.
Computers excel at "routine" tasks: organizing, storing, retrieving and manipulating information, or executing exactly defined physical movements in production processes.
"These maps show us a stark difference in the architecture of the human brain that helps provide a potential neural basis as to why men excel at certain tasks and women at others," said Verma.
It's a safe bet how Gary Friedman, the chief executive of Restoration Hardware, would answer, even if he never did excel at schoolboy tasks like standardized tests — or tests of any form.
It reveals, in the words of Ragini Verma, the associate professor who led the study, "a stark difference – and complementarity – in the architecture of the human brain that helps provide a potential neural basis as to why men excel at certain tasks, and women at others".
"These maps show us a stark difference - and complementarity - in the architecture of the human brain that helps to provide a potential neural basis as to why men excel at certain tasks, and women at others," said Ragini Verma, professor of radiology at the University of Pennsylvania in Philadelphia.
If the last few decades were about creating generalized CPUs to handle a broad array of processes, the last few months have been about building custom chips that excel at specific tasks.
This is the perspective comprised by weak AI, and because of the fundamental limitations proposed, those espousing it tend to focus on how to create systems that excel at individual tasks.
Google Now and Siri each excel at different tasks; while Google's assistant can, for example, be summoned without ever touching the device it runs on, Siri requires less time to make a restaurant reservation.
Apparently, left-handers do cluster at the two ends of the IQ range; the connections between the two sides of their brain are faster than in right-handers; they often use both hemispheres for language; and they excel at complicated tasks.
