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15 April, 2016
13 April, 2016
A question yet to be addressed is whether the march of technology, under the guise of making our lives easier, freer, more connected, is actually beginning to wipe out secure livelihoods for the masses, and concentrating wealth in a new tech elite. It would not need to be this way, Rushkoff argues. His answer is to shift the digital economy away from extractive models to distributive ones. The cycle couriers could own the takeaway food despatch platform, say. "I'm all for disruption. Let's disrupt Facebook's monopoly of social networks, or Google's monopoly on search. Let's disrupt Uber's extractive monopoly platform with a driver-owned app that does the same thing." That really would be a sharing economy.
11 April, 2016
“If you have people transcribe conversational speech over the telephone, the error rate is around 4 percent,” says Xuedong Huang, a senior scientist at Microsoft, whose Project Oxford has provided a public API for budding voice recognition entrepreneurs to play with. “If you put all the systems together—IBM and Google and Microsoft and all the best combined—amazingly the error rate will be around 8 percent.” Huang also estimates commercially available systems are probably closer to 12 percent. “This is not as good as humans,” Huang admits, “but it’s the best the speech community can do. It’s about as twice as bad as humans.”
Labels:
Artificial Intelligence,
ICT Capability,
research
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