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AI, like electricity or the steam engine, is a general-purpose technology. There is no consensus on how to characterize which tasks AI tends to excel at. [15] Some versions of Moravec's paradox observe that humans are more likely to outperform machines in areas such as physical dexterity that have been the direct target of natural selection. [16]
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The grey world normalization makes the assumption that changes in the lighting spectrum can be modelled by three constant factors applied to the red, green and blue channels of color. [6] More specifically, a change in illuminated color can be modelled as a scaling α, β and γ in the R, G and B color channels and as such the grey world ...
Many of the concerns around AI from 2014 remain today, though the technology raising questions nine years ago was IBM’s Watson, a computer system that answered user questions but hasn’t ...
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Gemini’s AI image generation does generate a wide range of people. And that’s generally a good thing because people around the world use it. But it’s missing the mark here.”
Deepfakes - realistic yet fabricated videos created by AI algorithms trained on copious online footage - are surfacing on social media, blurring fact and fiction in the polarized world of U.S ...