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Google Gives Wikimedia Millions—Plus Machine Learning Tools

https://www.wired.com/story/google-wikipedia-machine-learning-glow-languages/?CNDID=49046367&CNDID=49046367&bxid=MjM5NjgxNjQ4MjY5S0&hasha=051456e5dd3dcc7e9dc3f0af5c58ce38&hashb=f25d57ca4e78eed3fd06146c3baa1f06f00d9d42&mbid=nl_012319_daily_list1_p4&source=DAILY_NEWSLETTER&utm_brand=wired&utm_mailing=WIRED%20NL%20012319%20(1)&utm_medium=email&utm_source=nlWhen the tech giant helps Wikipedia, it’s also helping itself.

Should Artificial Intelligence Copy the Human Brain?

Should Artificial Intelligence Copy the Human Brain? - WSJ

Should Artificial Intelligence Copy the Human Brain? – WSJhttps://www.wsj.com/articles/should-artificial-intelligence-copy-the-human-brain-1533355265The biggest breakthrough in AI, deep learning, has hit a wall, and a debate is raging about how to get to the next level.

Greedy, Brittle, Opaque, and Shallow: The Downsides to Deep Learning

“We are born knowing there are causal relationships in the world, that wholes can be made of parts, and that the world consists of places and objects that persist in space and time,” Gary Marcus says. “No machine ever learned any of that stuff using backprop.”

https://www.wired.com/story/greedy-brittle-opaque-and-shallow-the-downsides-to-deep-learning/Gary Marcus, a professor of cognitive psychology at NYU and briefly director of Uber’s AI lab, recently published a remarkable trilogy of essays, offering a critical appraisal of deep learning. Marcus believes that deep learning is not “a universal solvent, but one tool among many.” And without new approaches, Marcus worries that AI is rushing toward a wall, beyond which lie all the problems that pattern recognition cannot solve.

How AI will impact your work as a designer

How AI will impact your work as a designer – uxdesign.cc

How AI will impact your work as a designer – uxdesign.cchttps://uxdesign.cc/how-ai-will-impact-your-routine-as-a-designer-2773a4b1728c?ref=donvy.comThere is a lot of conversation happening around Artificial Intelligence, Machine Learning, and using algorithms to shape the future of Design and the role of the designer. But how is that going to change the way you work in the near future?