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Back to home page. Listed in category:. The seller has not uploaded any pictures. Check the item description for details. Image not available Photos not available for this variation. Yemen There are 2 items available. For corporations like his, the attractions of the technology are many and varied.
After all, in the past decade, machine learning has enabled self-driving cars, practical speech recognition, more powerful web search, even an improved understanding of the human genome. And lots more. Because of its ability to make predictions based on observations of past behaviour, ML technology is already so pervasive that most of us encounter it dozens of times a day without realising it. Likewise for your Twitter feed.
As we click and click, we are carried along by the exciting sensation of uncovering more secrets and deeper truths. The tech companies extol these services as unqualified public goods.
What could possibly be wrong with a technology that learns what its users want and provides it? And at no charge? Quite a lot, as it happens.
Take recommendation engines. When you watch a YouTube video you see a list of other videos that might interest you down the right-hand side of the screen. In recent years there has been much debate about the impact of such a maximisation strategy. In particular, does it push certain kinds of user towards increasingly extremist content? The answer seems to be that it can. YouTube leads viewers down a rabbit hole of extremism, while Google racks up the ad sales.
What we have also discovered since is that the micro-targeting enabled by ML algorithms deployed by social media companies has weakened or undermined some of the institutions on which a functioning democracy depends. It has, for example, produced a polluted public sphere in which mis- and disinformation compete with more accurate news. And it has created digital echo-chambers and led people to viral conspiracy theories such as Qanon and malicious content orchestrated by foreign powers and domestic ideologues.
The side-effects of machine-learning within the walled gardens of online platforms are problematic enough, but they become positively pathological when the technology is used in the offline world by companies, government, local authorities, police forces, health services and other public bodies to make decisions that affect the lives of citizens. Who should get what universal benefits? Whose insurance premiums should be heavily weighted? Who should be denied entry to the UK?
Romantic Evening Sex All Themes. Features Interviews Lists. Streams Videos All Posts. Release Date October 30, Genre Electronic. Track Listing - Disc 1. Bart Claessen. Lutz Fahrenkrog-Petersen. Brad Grobler. Dance Nation. Hey Little Girl. Ivan Davis. Too Many Times. Kai MacDonald. Kai Tracid.
Living on Video. Pascal Languirand. Out of Control Back for More. Lift Me Up. DJ Jean. Forever in Love. Regi Penxten. Wonderful Days. Daniel Vangarde.The exhibition will feature photos of almost 50 Futuro houses from various corners of the world. In addition, there will be some interior photos illustrating their different decoration styles. As a part of the celebrations and events marking the 50th Anniversary of the Futuro the exhibition was relaunched as " Futuro World 50 Years " and.