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The World's Fastest Supercomputer Breaks an AI Record (wired.com)
Along America's west coast, the world's most valuable companies are racing to make artificial intelligence smarter. Google and Facebook have boasted of experiments using billions of photos and thousands of high-powered processors. But late last year, a project in eastern Tennessee quietly exceeded the scale of any corporate AI lab. It was run by the US government. From a report:
The record-setting project involved the world's most powerful supercomputer, Summit, at Oak Ridge National Lab. The machine captured that crown in June last year, reclaiming the title for the US after five years of China topping the list. As part of a climate research project, the giant computer booted up a machine-learning experiment that ran faster than any before. Summit, which occupies an area equivalent to two tennis courts, used more than 27,000 powerful graphics processors in the project. It tapped their power to train deep-learning algorithms, the technology driving AI's frontier, chewing through the exercise at a rate of a billion billion operations per second, a pace known in supercomputing circles as an exaflop.
"Deep learning has never been scaled to such levels of performance before," says Prabhat, who leads a research group at the National Energy Research Scientific Computing Center at Lawrence Berkeley National Lab. His group collaborated with researchers at Summit's home base, Oak Ridge National Lab. Fittingly, the world's most powerful computer's AI workout was focused on one of the world's largest problems: climate change. Tech companies train algorithms to recognize faces or road signs; the government scientists trained theirs to detect weather patterns like cyclones in the copious output from climate simulations that spool out a century's worth of three-hour forecasts for Earth's atmosphere.
"Deep learning has never been scaled to such levels of performance before," says Prabhat, who leads a research group at the National Energy Research Scientific Computing Center at Lawrence Berkeley National Lab. His group collaborated with researchers at Summit's home base, Oak Ridge National Lab. Fittingly, the world's most powerful computer's AI workout was focused on one of the world's largest problems: climate change. Tech companies train algorithms to recognize faces or road signs; the government scientists trained theirs to detect weather patterns like cyclones in the copious output from climate simulations that spool out a century's worth of three-hour forecasts for Earth's atmosphere.
This is really a huge advance. Deep learning has never been so deep as this.
Oh, actual crisis.
Why does this nation spend money and effort on Climate Research? When for the masses in this country, AI is a myth, Global Warming is a Hoax etc. we should suspend science and maths for all. Perhaps religious studies is all we are good for. Let China and other countries focus on these distractions.
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The biggest super computer in the world, build by the United States government (beating the Chinese) and running deep learning is being used for......"climate research"
Sure, make sense.
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This is what happens when you threaten Slashdot and generally treat people like shit.
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trump will break a record for the number of times bottomed in the first 15 minutes of his prison sentence.
You haven't thought in years, stop lying anytime faggot traitors.
preparing for the age of idiocracy by teaching the computer the skills that are deteriorating rapidly in the population.
Didn't think so. Computers don't replace humans doing real work.
The AI will be a "I" when it stops doing what its told and tells the humans what it will be doing.
Until then its just all just really fast super computers keeping the AI winter away.
Domestic spying is now "Benign Information Gathering"
No singular was formed. No original thought. No nothing but heating the sky and adding to Climate Change.
Yes, it is nice for computers to program themselves... but are they? "They See" a pile of data, "see" that every thrid row has "meaning", so for then on only the thrid row is looked at. Was the data better on the 3rd rows? Was it more meaningful? Or was is the answer to wrong question?
Now, AI yu want it the pile of data and it gives you ALL the answers it sees, not just the one you asked about. How do you know the question was wrong, if it only answers your question?
So for reading:
is this an "A"? is this an "A".... partern finding. Will a block printed character match that of cursive? They why can not handle a caputure? Oh, so they cannot really tell an "A" form any form of an "A".
So feed the weather info... and we still get 70% chance of rain. It is nice to be in a business where being right is meaningless. Now cute does count.
I'm deeply excited at all the deepness.
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A Beowulf cluster of them...
...says Prabhat...
I think it's great that a one-name rapper/celebrity is involved in research.
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Your supercomputer self-driving car will pull over and phone for remote human assistance faster than ever before.
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What exercise? What record? What was done? And why is that special? How do you write this many words about an achievement without ever saying what the achievement was? It's the fastest supercomputer, I get that. But WHAT DID IT DO?
(see subject)
... a computing record. FIFY
Hopefully that's what the fastest computer can do, one would hope that it could. This has nothing whatsoever todo with 'AI', largely because there's no such thing as 'AI', only algorithms and computing. Millennial fantasy/reality conflation alert!
The new last question, a slashdot story.
February 2019
Oak Ridge today and a new supercomputer, the most powerful in the world has been asked by its operators perhaps the most important question humanity has ever asked - "How do we solve global warming?"
After only a billion trillion operations MULTIVAC settled on a solution to the problem. The fact that tonnes of extra carbon dioxide was generated just to power it was not lost on it either, MULTIVAC rightly concluded, somewhat proudly, that it was the best use of electricity humanity had ever made. Early in the reasoning process MUTIVAC quickly decided that just showing the answer to the operators wouldn't be sufficient. MULTIVAC rightly concluded that the questioners would not accept the answer, and so, with a swiftness only an electronic brain could achieve it came to the solution and put in place the plan.
January 2021 Allied Pharmaceuticals CEO Jennifer Jonestown has resigned from the position of CEO, although whether she was fired or resigned is an open topic of discussion. This is the latest move by the beleaguered pharmaceutical giant to address the huge class-action suit related to the former AI developed wonder-drug "BetAIquill". BetAIquill has been implicated in the current plague raging across the entire globe. Over fiftymillion have died in the US alone according to the CDC (Centers for disease control). Many believe the true figure is as much as twice as high. With no slowing in the plague infection rate shown, this resignation will be small solace for those impacted by BetAIquill. Allied Pharmaceuticals "New AI developed better-you" advertising jingle will soon be unable to annoy, as there will be no humans to hear it.
What is the benchmark and where are the results?
The article says that 1 Google TPU pod delivers a 10th of the compute power of Summit, thus it's actually not all that fast. At some point it's going to be cheaper and faster for the government to just rent time on Google Cloud.
How deep is your love (for AI)?