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Old 04-11-2018, 08:19 AM   #221
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Some really cool work for animating models.
http://bair.berkeley.edu/blog/2018/0...tual-stuntman/


This one in particular is pretty amazing because the middle one looks just like a person afraid to try a backflip, and it's the result of the network not knowing that it needs to rotate in order to do the flip, so it stumbles backward instead.
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Old 06-07-2018, 08:07 PM   #222
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Chief Justice Roberts tells graduating high schoolers to "beware the robots," decrying the rise of artificial intelligence and big data in modern society; sends minions to arrest and execute Zell and cowmoo.

https://www.usatoday.com/story/news/...ing/681626002/
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Old 06-08-2018, 03:42 AM   #223
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zell uses Matron's 2yo Phone:

Minions are victorious!
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Old 06-08-2018, 06:12 AM   #224
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Deepmind published a paper a few days ago outlining methods to give machines translational memories, allowing them to use the memory of one task and apply it to another. Westworld isn't too far off
https://arxiv.org/abs/1806.01822
Quote:
Memory-based neural networks model temporal data by leveraging an ability to remember information for long periods. It is unclear, however, whether they also have an ability to perform complex relational reasoning with the information they remember. Here, we first confirm our intuitions that standard memory architectures may struggle at tasks that heavily involve an understanding of the ways in which entities are connected -- i.e., tasks involving relational reasoning. We then improve upon these deficits by using a new memory module -- a Relational Memory Core (RMC) -- which employs multi-head dot product attention to allow memories to interact. Finally, we test the RMC on a suite of tasks that may profit from more capable relational reasoning across sequential information, and show large gains in RL domains (e.g. Mini PacMan), program evaluation, and language modeling, achieving state-of-the-art results on the WikiText-103, Project Gutenberg, and GigaWord datasets.
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Old 06-08-2018, 07:39 AM   #225
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Originally Posted by cowmoo32 View Post
Deepmind published a paper a few days ago outlining methods to give machines translational memories, allowing them to use the memory of one task and apply it to another. Westworld isn't too far off
https://arxiv.org/abs/1806.01822
I bet every neckbeard on this forum just creamed their little, pink panties at the thought of banging robots.
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Old 06-08-2018, 12:04 PM   #226
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I love when those boxes are thrown at them.

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Old 06-08-2018, 01:48 PM   #227
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Four years in the making: US regains lead in supercomputers at Oak Ridge National Lab

(Thanks to IBM and Nvidia)

https://mobile.nytimes.com/2018/06/0...-china-us.html

You’d Need 63 Billion Years to Do What This Supercomputer Can Do in a Second

Some stats:
>>
At 200 petaflops, Summit achieves more than twice the speed of the leading supercomputer in November, when the last Top 500 list was published. That machine is at China’s National Supercomputing Center in Wuxi.

Summit, built by IBM in a partnership with Nvidia, is made up of rows of black, refrigerator-size units that weigh a total of 340 tons and are housed in a 9,250 square-foot room. The machine is powered by 9,216 central processing chips and 27,648 graphics processors that are lashed together with 185 miles of fiber-optic cable.

Cooling Summit requires 4,000 gallons of water a minute, and the supercomputer consumes enough electricity to light up 8,100 American homes.
>>
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Old 06-08-2018, 02:06 PM   #228
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The machine is powered by 9,216 central processing chips and 27,648 graphics processors that are lashed together with 185 miles of fiber-optic cable
And I can barely use my 2 GPUs to their full extent. Defining problems that require, and writing the subsequent code to make use of that much power is impressive in and of itself.
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Old 06-08-2018, 02:08 PM   #229
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And I can barely use my 2 GPUs to their full extent. Defining problems that require, and writing the subsequent code to make use of that much power is impressive in and of itself.
Probably still can't play Crysis in full-res mode.
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Old 07-30-2018, 02:20 PM   #230
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https://blog.openai.com/learning-dexterity/


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Old 08-04-2018, 03:49 PM   #231
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Video is way too long. Nothing different happens after the first 30 seconds. Even the robot gets bored at around goal 46 it gives the stiff middle finger for the remainder of the video.

Having said that, the dexterity of the robot hand is quite impressive.
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Old 08-04-2018, 04:07 PM   #232
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Originally Posted by cowmoo32 View Post
Deepmind published a paper a few days ago outlining methods to give machines translational memories, allowing them to use the memory of one task and apply it to another. Westworld isn't too far off
https://arxiv.org/abs/1806.01822


Well sure. If you use multi-head dot product attention to allow memories to interact in your relational memory core, then its almost trivial.
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Old 08-06-2018, 06:25 AM   #233
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OpenAI's network beat some DOTA pros yesterday. They were streaming it, but I have never played DOTA so I didn't have a clue what was going on. The machine won though. What's most interesting to me, and we've seen this before with AlphaGo, is the relative speed of the training. OpenAI's bot trained at a real-world rate of 180 years per day. Time is variable to a machine.

The OpenAI Dota 2 bots just defeated a team of former pros
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Old 08-17-2018, 12:58 PM   #234
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Google deployed an AI awhile back to help reduce their energy use, and it worked, but the operators were having a hard time keeping up with the constant changes to the system, so now the AI is in complete control and it's decreasing their energy usage even more.

https://deepmind.com/blog/safety-fir...trial-control/

The operators have learned from the AI...
Quote:
They told us that although the system had taught them some new best practices-such as spreading the cooling load across more, rather than less, equipment-implementing the recommendations required too much operator effort and supervision

...

Our direct AI control system is finding yet more novel ways to manage cooling that have surprised even the data centre operators. Dan Fuenffinger, one of Google's data centre operators who has worked extensively alongside the system, remarked: "It was amazing to see the AI learn to take advantage of winter conditions and produce colder than normal water, which reduces the energy required for cooling within the data centre.
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Old 11-09-2018, 11:47 AM   #235
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China Debuts AI-Generated 'News Anchor'

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Old 11-16-2018, 05:46 AM   #236
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Let's hear it for motion transfer GANs and getting us one step closer to a world where nothing is real!



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Old 11-16-2018, 05:39 PM   #237
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Old 01-19-2019, 11:25 AM   #238
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And in the latest round of jobs lost due to automation

State Street to lay off 1,500 in turn toward automation
https://www.bizjournals.com/boston/n...rn-toward.html
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Old 01-25-2019, 08:07 AM   #239
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As with most things AI, something that was expected to not happen for another couple years has come early:

This is how Google's DeepMind crushed puny humans at StarCraft
https://www.wired.co.uk/article/deep...ults-alphastar
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Old 03-21-2019, 07:47 AM   #240
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An AI model is producing the music on the Google Doodle today

https://magenta.tensorflow.org/coconet
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