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For that cause, synthetic intelligence and machine
learning is a key a part of cosmologists’ work. There's an explosion of
different approaches toward this objective, pushed partially
by the commercial need for laptop intelligences
to clarify their decisions. However where a claim is discrepant with existing theories,
it's more likely that there's a fault with the information; this was the gut feeling that physicists
trusted when seeing the OPERA results. This isn't Anderson’s imaginative and prescient of
the idea-free future of science, however a extra exciting, extra disruptive and
far harder goal: for machines to construct and check new theories atop a whole lot of years of human insight.
Machine studying will be trained to identify these objects,
allowing them to be studied with other, more specialised telescopes.
The human components of science will not be replicated by machines except they can integrate their flexible information processing with
a broader corpus of information.