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Machine learning and increasingly focus on perception - posted by guddu bhaiya at Biophotonics.World
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Machine learning and increasingly focus on perception

20 Oct '23 | By guddu bhaiya
Machine learning and increasingly focus on perception
Tech
By: Guddu

AI’s influence on technology is due in part because of how it impacts computing. 


Through AI, computers have the ability to harness massive amounts of data and use their learned intelligence to make optimal decisions and discoveries in fractions of the time big boss 17 members that it would take humans.


AI has come a long way since 1951, when the first documented success of an AI computer program was written by Christopher Strachey, whose checkers program completed a whole game on the Ferranti Mark I computer at the University of Manchester.


Since then, AI has been used to help sequence RNA for vaccines and model blooket join game human speech, technologies that rely on model- and algorithm-based machine learning and increasingly focus on perception, reasoning and generalization. 


With innovations like these, AI has re-taken center stage like never before — and it won’t cede the spotlight anytime soon. 


On a more upbeat note, Lee stressed that today’s AI is useless in two significant ways: it has no creativity and no capacity for compassion or love. Rather, it’s “a tool to amplify human creativity.” 


His solution? Those with jobs that involve repetitive or routine tasks must learn new skills so as not to be left by the wayside. Amazon even offers its employees money to train for jobs at other companies.


While many of those who are forced out of jobs by technology will find new ones, Vandegrift said, that won’t happen overnight. 


As with America’s transition from an agricultural to an industrial economy during the Industrial Revolution, which played a big role in causing the Great Depression, people eventually got back on their feet. The short-term impact, however, was massive.


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