aidanrocke

15 ms·

91.
General inequality for expectations of random variables(math.stackexchange.com)
1 points by aidanrocke 9y ago|0 comments
92.
The substrate of consciousness(romainbrette.fr)
1 points by aidanrocke 9y ago|0 comments
93.
The theoretical limitations of DQN(paulispace.com)
2 points by aidanrocke 9y ago|0 comments
94.
Entropy Maximization and intelligent behaviour(paulispace.com)
118 points by aidanrocke 9y ago|33 comments
95.
The weight transport problem(paulispace.com)
3 points by aidanrocke 9y ago|0 comments
96.
1M dollar AGI prize(paulispace.com)
1 points by aidanrocke 9y ago|0 comments
97.
AI won't solve everything(paulispace.com)
5 points by aidanrocke 9y ago|0 comments
98.
Elementary observations: deep rectifier networks(paulispace.com)
1 points by aidanrocke 9y ago|0 comments
99.
Deep learning: derivation of common activation functions(paulispace.com)
3 points by aidanrocke 9y ago|0 comments
100.
Experiment: unsupervised pre-training, dropout and representation learning(paulispace.com)
1 points by aidanrocke 9y ago|0 comments
101.
Foundations for deep learning(paulispace.com)
3 points by aidanrocke 9y ago|0 comments
102.
by aidanrocke 9y ago
Good morning Smerity, I'm sorry if my response sounded harsh. It wasn't my goal to confuse readers and I admit that it's a work in progress. That said I must clarify a few things as I realise that I left out important detail
103.
by aidanrocke 9y ago
Hello Smerity, I have read the deeplearning book and I think it's great that you know Yarin. His PhD thesis is the closest thing to a survey paper on uncertainty in Deep Learning. I also think that while the original dropout paper is n
104.
Foundations of deep learning(github.com)
101 points by aidanrocke 9y ago|12 comments
105.
Democratising Artificial Intelligence(keplerlounge.com)
1 points by aidanrocke 9y ago|0 comments
106.
Learning Lagrangians from Data(keplerlounge.com)
2 points by aidanrocke 10y ago|0 comments
107.
The coordination problem(keplerlounge.com)
2 points by aidanrocke 10y ago|0 comments
108.
Are wheels optimal for locomotion?(keplerlounge.com)
1 points by aidanrocke 10y ago|0 comments
109.
The case for compulsory public service(keplerlounge.com)
3 points by aidanrocke 10y ago|0 comments
110.
The Case Against Universal Basic Income(keplerlounge.com)
4 points by aidanrocke 10y ago|0 comments
111.
Democracy 2.0(keplerlounge.com)
2 points by aidanrocke 10y ago|0 comments
112.
Learning integer sequences(keplerlounge.com)
1 points by aidanrocke 10y ago|0 comments
113.
The flatmate conjecture(keplerlounge.com)
2 points by aidanrocke 10y ago|0 comments
114.
The probability that democracy works(keplerlounge.com)
1 points by aidanrocke 10y ago|0 comments
115.
Why we shouldn't trust experts(keplerlounge.com)
2 points by aidanrocke 10y ago|0 comments
116.
The economic value of hacker spaces(keplerlounge.com)
1 points by aidanrocke 10y ago|0 comments
117.
Pseudo-anonymous forums(keplerlounge.com)
1 points by aidanrocke 10y ago|0 comments
118.
by aidanrocke 10y ago
tl;dr: The main point I’m trying to drive home is semantic in nature. There is no hard and fast rule that AI has to be digital or that it must be programmed via a laptop. The key thing is that there are universal design principles for build
119.
A brief history of AI(keplerlounge.com)
2 points by aidanrocke 10y ago|1 comments
120.
The Anti-Democratic Worldview of Steve Bannon and Peter Thiel(politico.com)
3 points by aidanrocke 10y ago|0 comments

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