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Louis-Philippe Reid
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How? By putting 4,425 satellites into orbit between 2019 and 2024 using rockets 😯

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"Bad as the GOP's latest iteration is, the Republican health bill will not become the law of the land. But before you heave a sigh of relief know this: It is an awful harbinger of what is to come, demonstrating that the party in control of all three branches of the American government is more than willing to chuck you, and the whole world, on the pyre of failed personal responsibility before it will consider paying to keep you alive and well."

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I want to be your "trustworthy media diet."

"When Trump and his surrogates pump falsehoods into the news cycle, the goal is not to convince the public of 'alternative facts' but to make people throw up their hands in confusion and give up, thinking, 'Who even knows what’s true anymore?' Instead of worrying that they are attempting to distract and confuse us into oblivion, figure out a trustworthy media diet that makes sense for you, and stick to it. From there, be vigilant, and take action where necessary."

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As I'm french speaking (from Quebec, Canada) this is great news! 

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AI startup Neurala claims major breakthrough in deep learning

Artificial intelligence startup Neurala Inc., a company that’s built a deep learning neural network used by NASA among other organizations, today announced a major new breakthrough that it claims will finally make the technology useful for consumers. The company says it has developed deep learning software capable of learning without the need for servers running in the cloud, enabling a new generation of smart cars, children’s toys and industrial machines. Traditional deep learning systems have largely relied on cloud-based servers to do the computing for them in the background. These systems work, but Neurala said the approach is still inefficient because of what it calls the “catastrophic forgetting” problem that requires machines to re-learn objects they previously knew, whenever they’re required to learn a new object. “Until now, if an AI system had learned a certain number of objects and needed to learn one more, it would have to be retrained on all of the objects,” the company said. “This traditional method requires using powerful servers that are often located in the cloud.” But with Neurala’s new technology, learning of incremental objects is now performed on the network edge, eliminating the “catastrophic forgetting” problem once and for all. Neurala didn’t reveal exactly how its done this, but said its method involves combining different neural network architectures in a way that many said was impossible to do.

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