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Data science can have a devastating impact on our world, as illustrated by inflammatory Russian propaganda being shown on Facebook to 126 million Americans leading up to the 2016 election or by lies spread via Facebook that are fueling ethnic cleansing in Myanmar. What is the ethical responsibility of data scientists?
If you want to blame someone for the hoopla around AI, Google researcher Geoff Hinton is a good candidate. But Hinton now belittles the technology he helped bring to the world. In its place, he has unveiled an idea that might transform how computers see—and reshape AI.
A handful of companies are luring away top researchers, but academics say they are killing the geese that lay the golden eggs. And the impact of the brain drain may reach far beyond academia.
With QuickBooks Capital, QuickBooks users can now get access to small business loans up to about $35,000 for up to six months right from inside their bookkeeping software.
One algorithm tries to generate a realistic image of an object or a scene, while another algorithm tries to decide whether that image is real or fake. This is the principle behind generative adversarial networks (GAN), a technique that has quickly become a cornerstone of AI research.