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ANDRÉ CRAMER

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May 2017

Good read, and a lot of truth behind it: Regulating the internet giants – The world’s most valuable resource is no longer oil, but data (The Economist)

Source: Regulating the internet giants: The world’s most valuable resource is no longer oil, but data | The Economist

Watch out for these People and their Ideas: NEXT LIST 2017 – 20 Tech Visionaries who are creating the Future (various WIRED Staff)

Microsoft will build computers even more sleek and beautiful than Apple’s. Robots will 3-D-print cool shoes that are personalized just for you. (And you’ll get them in just a few short days.) Neural networks will take over medical diagnostics, and Snapchat will try to take over the entire world. The women and men in these pages are the technical, creative, idealistic visionaries who are bringing the future to your doorstep. You might not recognize their names—they’re too busy working to court the spotlight—but you’ll soon hear about them a lot. They represent the best of what’s next…

via WIRED Next List 2017: 20 Tech Visionaries Who Are Creating the Future of Business | WIRED

Really insightful Long-Read: Alien Knowledge – When Machines justify Knowledge (David Weinberger)

The new availability of huge amounts of data, along with the statistical tools to crunch these numbers, offers a whole new way of understanding the world. Correlation supersedes causation, and science can advance even without coherent models, unified theories, or really any mechanistic explanation at all.

So wrote Wired’s Chris Anderson in 2008. It kicked up a little storm at the time, as Anderson, the magazine’s editor, undoubtedly intended. For example, an article in a journal of molecular biology asked, “…if we stop looking for models and hypotheses, are we still really doing science?” The answer clearly was supposed to be: “No.”

But today — not even a decade since Anderson’s article — the controversy sounds quaint. Advances in computer software, enabled by our newly capacious, networked hardware, are enabling computers not only to start without models — rule sets that express how the elements of a system affect one another — but to generate their own, albeit ones that may not look much like what humans would create. It’s even becoming a standard method, as any self-respecting tech company has now adopted a “machine-learning first” ethic…

via Our Machines Now Have Knowledge We’ll Never Understand

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