this stuff is pretty insane. Give the network a sentence, it produces an image. This whole field has basically exploded in just the last year, thanks to a thing called "Generative Adversarial Networks"
Isaac Moore
fpbp
Jordan Collins
Holy shit
Henry James
kek
Jason Carter
>However, I am sure that in 2017, researchers will start working on generating full HD animations with an improved version of this architecture
At last, now I can start directing my own 2D hentai
Isaac Barnes
Will look at this sounds very cool.
Evan Foster
sparse distributed representations
Hudson Barnes
I'll google it , but do you have suggested links on the topic?
Exactly my thoughts >implying this wont instantly be used for porn the minute after the release of the source code
Charles Price
>tfw you understand this Analogy
Dominic Hernandez
The most exiting stuff is all behind closed doors.
Dylan Carter
I think solving starcraft (I'm talking about brood war, but I guess the same goes for SC2) is a bit far fetched.
However, I think it would be fairly straight forward to program AI's that could beat humans even with suboptimal play just because of how insanely good their micro would be. Hell, I doubt deep learning and neural networks is even necessary for this.
Eli Peterson
>tfw the second islamic golden age will give rise to ibn Hayyan 2.0
Adrian Barnes
>islam gas yourself
Jack Thompson
Most interesting companies to look at? Is it mainly the "Big Guys" (Google, IBM, Microsoft, Facebook) or is it there some interesting startup?
Anthony Watson
>software
It's also heavily about hardware. Nvidia, Google, and closed door are most important. Startups with a few months of work surpassed Google's self-driving technology using latest hardware. A lot of the techniques are unimportant compared to small fundamental changes in the methods and better hardware.
Chase Parker
That's a reasonable point , even if I didn't think hardware would be as important as you make it sound. We'll see.
That's cool as fuck and that whole channel seems pretty great thanks
Gabriel Morgan
Do you guys think we'll manage to build a sentient machine in like 300 years? What are the major challenges?
Henry Miller
Every time you fill out the picture captchas you are helping googles deepmind projects learn how to destroy the human race, and obey traffic laws while doing so.
Nathan Rogers
Dont think you are smart for understanding it. Its brainlet tier popsci. Not to mention, theres no reason why strong AI cant work (unlike the philosophers stone). With complex enough computers, networks, and software we will one day be able to simulate a human brain down to the atomic level in real time. Who knows if it will ever gain consciousness, but thats not really the point.
Chase Rogers
Genetic code into C programming. Simulated with environmental variables at break neck speeds. This is the future user.
Adrian James
Nothing because it's all a bunch of bunk that's more reliant on graphical power than advancement in theory. It's been stuck at graph/neural node models for decades. At this point all that's been happening is people making bigger networks with more nodes on more expensive machines with more graphical power. We are at the end of the line in the field as far as theory goes and tangible material advancements will come along as stronger hardware is developed.
We'll see strong AI when we get NVIDIA 7Billion or some shit.
Hunter Green
well genetic coding is cool, but calling this the future is quite funny
Jordan Anderson
Mate chill, it was more a joke on analogies and Hofstadter...
Austin Rodriguez
Does anyone know of there's any work that has been done regarding establishing hardware in a neural net fashion? My understanding is that we are simulating nets on computer architecture and I think it would be cool to see how a net could function on hardware specifically designed in the node and layer fashion (instead of pieces of a computer chip) and maybe the weights could be scalable settings on each individual node on the machine.
Isaiah Kelly
I cant really give an informative answer but I heard intel is working on machine learning specialized hardware which has better performance by factor 100 and more