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Why Deep Learning Now? | AI Revolution Documentary



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Sources:

https://qz.com/1034972/the-data-that-changed-the-direction-of-ai-research-and-possibly-the-world/

http://usblogs.pwc.com/emerging-technology/top-10-ai-tech-trends-for-2018/

https://medium.com/nurture-ai/keeping-up-with-the-gans-66e89343b46

Dancing AI: https://youtu.be/PCBTZh41Ris
https://arxiv.org/abs/1808.07371
Wifi signal mapping:

http://rfpose.csail.mit.edu/

Motion transfer Animals in video games:
http://homepages.inf.ed.ac.uk/tkomura/dog.pdf

Neural Network Arm:

https://www.youtube.com/watch?v=txHQoYKaSUk

http://vpg.cs.princeton.edu/

Nvidia super slow motion:

https://people.cs.umass.edu/~hzjiang//projects/superslomo/

https://www.youtube.com/watch?v=MjViy6kyiqs

Shout out to 2 minute papers who covers the latest in AI research. Check him out here:
https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg

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22 thoughts on “Why Deep Learning Now? | AI Revolution Documentary
  1. I thought amd and Nvidia where more involved in ai and deap learning due to GPUs being better at neural networking than traditional CPUs like Intel's. from what I understand that why intel is investing as much in there up coming entry to GPU space with the hiring of Raja Koduri and several other key players in GPU space

  2. I wonder why you didnt mention the most important thing that makes deep neural networks work today? Maybe to technical i suppose.
    Mores law is and was just a small time window, he even corrected it himself by making the time steps for transistor size longer since it was really easy to begin with and now we are facing quantum effects which limits the transistor size to shrink much more. My phones octa core CPU/GPU at 10 nm is pushing the limits and its not possible to go much smaller and its also becoming much more expensive. Just look at the CPU market today where you have to pay 2000$ for a high end intel CPU. That's why GPUs with thousands of cores or ASICS designed for tensor calculations are beginning to be a big breakthrough when it comes to computation.
    The real answer to why the giant leeps has come over the last decade can be found in detail watching computerphiles channel. The advancements has been possible because of new algorithms to train multi layer deep neural networks much more efficiently. The computer science to have many layers of neurons each "assigned" or trained correctly didnt exist before.
    A good example is Alpha zero which only trained against itself and beat Alpha go 100 out of 100 games when Alpha go was already superior to any human player.

  3. I'd trade about 7 billion people and about 100 years of technology to be able to have a decent place to hunt fish and farm. Fuck why did I have to be in this generation.

  4. I just want to see a game with proper ai for enemies/NPCs/companions.
    Imagine having an antagonist that learns how you play and how to counteract it, so you then have to change your own strategies.
    Total war perhaps? Or a 4x game. Deep learning in StarCraft. Fun!

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