In 2011 IBM’s supercomputer Watson
defeated world jeopardy champion Ken Jenning and made a big dent in the egos
everywhere as man’s superior intelligence was now bested. IBM has recently
redirected Watson’s abilities toward providing medical diagnoses, claiming it
can make diagnoses far more accurately than any doctor while being more cost
effective.
The industrial
revolution hit the working class hard, but now advanced computing technologies
are competing for the most esteemed jobs held by humans. Computers like Watson,
as well as quantum computers such as NASA’s D-Wave,
which are still in their infancy will start to display the true extent of their
abilities as quantum computing is starting to come to the for-front of
contemporary science.
IBM has already started showcased some of these abilities in Watson’s medical diagnostic abilities.
“It would take at least 160 hours of reading a week just to
keep up with new medical knowledge as it's published, let alone consider its
relevance or apply it practically. Watson's ability to absorb this information
faster than any human should, in theory, fix a flaw in the current healthcare
model. Wellpoint's Samuel Nessbaum has claimed that, in tests, Watson's
successful diagnosis rate for lung cancer is 90 percent, compared to 50 percent
for human doctors.”
In 1996 IBM’s supercomputer Deep Blue
defeated Gary Kasparov the world chess champion resulting in a rage of denial
on behalf of Kasparov, who claimed there was no way a machine could out reason
a human being in a game involving such complex adaptive strategy.
But it is still
unclear the extent such machines will come to play in prestigious jobs, they
may act as a supplemental devices that guide decision making processes by
doctors, not replace them entirely.
Some argue that there
is an intuitive element that goes into medical diagnosis process which a machine
just couldn’t provide. Dr. Gurpreet Dhaliwal is considered one of the most best
diagnosticians in the world today and his process seems to involve such
reasoning processes that are uniquely human.
“An expert clinical diagnostician like Dr.
Dhaliwal might make a decision without being able to explain exactly what is
going on in the back of his mind, as his subconscious continuously sifts the
wheat from the chaff.”
These machines are
also extremely expensive, making it unclear how far way such technologies are
from becoming practical for commercial use. Google’s supercomputer ran a bill
of $10 Million, the tech giant has utilized supercomputer to help explore
blink-based app access for the upcoming product google glass. Quantum computers
also require their processors to be super-chilled to sub-zero temperatures,
which is extremely expensive. Google
was stuck with the bill from running their supercomputer
during the government shutdown even though no experiments could be conducted.
Supercomputers have
the potential to create new medicines by being able to analyze chemical
compounds on a scale unknown to human chemists as well as making performing
calculations beyond any mathematician. This leaves room for questions of
weather these people in these industries should welcome these new technologies
as friends, or be wary of them as competitors.
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