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congerous
searching Neon…
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by
congerous
9y ago
> truism Maybe, be people in this thread treat Tensorflow's creation as an act of simple altruism. > And if "anywhere" includes the users' hardware, it's wrong: tensorflow runs flawlessly on any Linux/NVI
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by
congerous
9y ago
No. The US has the lead because its competitive advantage in the world economy is exporting innovation. That's what it's good at. The Chinese economy is outperforming the American one in many ways, but the US enjoys a more open so
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by
congerous
9y ago
I'm surprised I have to write this, but Google is not a charity. They are pouring commercial resources into Tensorflow for a reason. That reason is Google Cloud. Tensorflow is a Trojan horse to get people to use Google Cloud and other
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by
congerous
9y ago
TensorFlow: everything to all people. Eager is actually not as innocent as "open-source projects borrowing the best parts from each other", as some commenters here suggest. Google is attempting to dominate the machine-learning API
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by
congerous
9y ago
This article adds nothing new to the discussion about AI. * We knew about Tencent's AI Lab (Saying you need your own capabilities is another way of saying: We have NIH and we will waste 3 years building our own framework from the botto
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by
congerous
9y ago
Data scientists arguably have too much choice. 10 data scientists will have 50 different tools, can't share work or build on another's experiments or even remember what the result of an experiment were. those are some of the reaso
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by
congerous
9y ago
Curious: Does anyone use GANs for anything of value, or are they just gimmick NNs?
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by
congerous
9y ago
KPI = amount of funds raised.
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by
congerous
9y ago
I've been there. A ton of good advice is on this thread. You need to try to influence your internal state chemically if you want to stay on track. Exercise, medication, meditation, eating and sleeping healthy are all helpful. It's
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by
congerous
10y ago
TF is way behind on UI, which is why it's making Keras its front-end. It's fairly slow on multi-GPUs compared to Torch and neon. It might pull ahead in performance on GCE, but that's just for lockin.
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by
congerous
10y ago
The "leading" DL framework is playing catch-up to Chainer, PyTorch and DyNet. Another Google product development bungle.
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by
congerous
10y ago
I have to say I find this piece pretty disappointing. Slightly smug throughout, which is easy in retrospect, with approximately zero to add to the conversation. The thesis seems to be: The future is hard to predict, and even if you can, it&
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by
congerous
10y ago
The assumptions we make, the more performance goes down in tasks like machine translation, and that includes the assumption that parts of speech matter to machines.
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by
congerous
10y ago
> Do they care less than they used to, though? That's impossible to measure, but the arguments you have employed regarding personnel changes do not demonstrate your point.
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by
congerous
10y ago
There's some baseless speculation in this thread about what's Singhal's departure meant for Google search. It's important to remember that Singhal was committed Google's knowledge graph, a painstaking, manually cons
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by
congerous
10y ago
I guess that's how you call peak hype.
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by
congerous
10y ago
I don't know, you tell me how much of this you believe: https://www.fastcompany.com/3065339/mind-and-machine/can-ibm... > A doctor reads about a half dozen medical research papers in a month, Meyerson says
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by
congerous
10y ago
Watson does not offer anything more than you can get from popular, free open-source projects, and often it offers much less, because it is complex, costly and closed-source. Nobody looks to Watson for the state of the art in AI.
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by
congerous
10y ago
Yeah right, until Amazon sees that you're succeeding and decides to monetize your APIs without you. Not a great partner.
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by
congerous
10y ago
From people trying to protect their own ass by not telling her that Watson doesn't work.
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by
congerous
10y ago
Rometty doesn't even know that Watson is a vaporware boondoggle, so how would she know what's going to happen when AI impacts society. She is probably the least qualified person at IBM to talk about AI, and IBM itself is one of th
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by
congerous
10y ago
Watson doesn't work. This is more IBM spin coming out via clients who want to prove to themselves that their millions of dollars weren't wasted.