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1.
▲
Show HN: Exemplar Networks for a Good Time (NSFW)
1 comment
9 years ago
driftwheeler
3 points
2.
▲
Why do some Chinese steal IP from other nations?
3 comments
6 years ago
aarongray
2 points
3.
▲
Show HN: Online Tournament for the Prisoner's Dilemma (programming challenge)
trust-trials.codewalkers.net
discuss
2 years ago
mattw2121
1 points
4.
▲
What is the role of GFS master during read and write operations?
discuss
4 years ago
shivajikobardan
1 points
5.
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"A Free Digital Society": Stallman talk at Stanford, 4/30, open to the public
discuss
16 years ago
endtime
1 points
6.
▲
Don Knuth plays with ChatGPT
cs.stanford.edu
622 comments
3 years ago
talonx
927 points
7.
▲
Doing well in your courses: Andrej's advice for success (2013)
cs.stanford.edu
198 comments
8 months ago
peterkshultz
680 points
8.
▲
Tidal energy is not renewable
cs.stanford.edu
326 comments
3 years ago
wyozi
406 points
9.
▲
Neural Networks That Describe Images
cs.stanford.edu
60 comments
12 years ago
vpanyam
357 points
10.
▲
Controllable Video Sprites That Appear Like Professional Tennis Players
cs.stanford.edu
75 comments
6 years ago
tosh
340 points
11.
▲
Classical data structures that can outperform learned indexes (2018)
dawn.cs.stanford.edu
39 comments
5 years ago
signa11
252 points
12.
▲
BLAS-level CPU Performance in 100 Lines of C
cs.stanford.edu
62 comments
4 years ago
henning
216 points
13.
▲
DAWN: Tools for AI and Data Product Development
dawn.cs.stanford.edu
14 comments
9 years ago
indescions_2017
215 points
14.
▲
Don Knuth letter about libraries increasingly unable to afford prices (2003) [pdf]
cs.stanford.edu
100 comments
2 years ago
kbradero
190 points
15.
▲
From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Containers [pdf]
www-cs.stanford.edu
18 comments
7 years ago
ingve
185 points
16.
▲
Knuth versus Email (1999)
cs.stanford.edu
128 comments
10 years ago
joshuacc
164 points
17.
▲
Classical Data Structures That Can Outperform Learned Indexes
dawn.cs.stanford.edu
20 comments
8 years ago
chmaynard
139 points
18.
▲
A Tutorial on Deep Learning Part 2: Autoencoders, CNNs and RNNs [pdf]
www-cs.stanford.edu
4 comments
11 years ago
tim_sw
133 points
19.
▲
Knuth on ChatGPT (2023)
cs.stanford.edu
47 comments
10 months ago
b-man
125 points
20.
▲
HALP: High-Accuracy Low-Precision Training
dawn.cs.stanford.edu
11 comments
8 years ago
chmaynard
103 points
21.
▲
NIPS 2014 papers
cs.stanford.edu
14 comments
12 years ago
lebek
90 points
22.
▲
Filter Before You Parse: Faster Analytics on Raw Data with Sparser
dawn.cs.stanford.edu
14 comments
8 years ago
bandwitch
86 points
23.
▲
The IT Productivity Paradox (2015)
cs.stanford.edu
55 comments
2 years ago
chiffre01
80 points
24.
▲
Research as a Stochastic Decision Process
cs.stanford.edu
7 comments
7 years ago
benwr
76 points
25.
▲
Translating a Visual Lego Manual to a Machine-Executable Plan
cs.stanford.edu
27 comments
4 years ago
nl
75 points
26.
▲
Stratified Synthesis: Automatically Learning the x86-64 Instruction Set (2016) [pdf]
cs.stanford.edu
7 comments
4 years ago
todsacerdoti
74 points
27.
▲
Implementing a Fast Research Compiler in Rust
dawn.cs.stanford.edu
3 comments
9 years ago
fabuzaid
72 points
28.
▲
Larry Lessig's theory: our society is governed by four forces (2011)
cs.stanford.edu
45 comments
3 years ago
janandonly
66 points
29.
▲
A History of Capacity Challenges in Computer Science [pdf]
cs.stanford.edu
5 comments
8 years ago
luu
66 points
30.
▲
ConvNetJS Deep Q Learning Demo (2013)
cs.stanford.edu
27 comments
3 years ago
eigenvalue
64 points
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