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MoA - October 2018
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What Sweden s COVID Failure Tells Us About Ageism
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machine learning, this is the technology that will the future. ~ v ., technology that will the future. ~ , ., , ., future. wayve s idea is that it s cars future. wayve s idea is that it s cars record future. wayve s idea is that it s cars record their - it s cars record their journeys, share their data with a central hq and useful bits feed into its learning and then back out to all of the vehicles with its brains in their boots. try having a go at the moral machine. a game set up by mit scientists to explore how humans think driverless cars should react in various scenarios. warning, they are all horrible. 0h, scenarios. warning, they are all horrible. oh, this isjust awful! all horrible. oh, this is ust awful! ., , , all horrible. oh, this is ust awful! . , , awful! examples where people were willing awful! examples where people were willing to awful! examples where people were willing to sacrifice - were willing to sacrifice poorer people to save richer people or having p
Big Tech is becoming Big Brother: a leviathan out of control
With mounting influence over what we do, see, and even think, the technology giants are changing the world. It may not be long before the sector eclipses governments and rules our lives, says Dominic Frisby
7 May 2021
Shortly before the pandemic, I went to a conference where a speaker, to the surprise of many, began outlining the latest developments in sex technology. Smart vibrators are now a thing, apparently. So are oral sex simulators. Both types of devices employ machine learning so that they constantly improve the service they deliver. This is data taken from the most intimate areas of life. Tech is finding applications in fields never before thought of as tech.
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Machine learning is behind chatbots and predictive text, language translation apps, the shows Netflix suggests to you, and how your social media feeds are presented. It powers autonomous vehicles and machines that can diagnose medical conditions based on images.
When companies today deploy artificial intelligence programs, they are most likely using machine learning so much so that the terms are often used interchangeably, and sometimes ambiguously. Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without explicitly being programmed.
“In just the last five or 10 years, machine learning has become a critical way, arguably the most important way, most parts of AI are done,” said MIT Sloan professor
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