MAXPOOL

9 ms·

31.
by MAXPOOL 4y ago
One of the top 5 programming books. Old AI is today's bleeding edge computer engineering. There is an enourmous amount of free lunches for computer engineers and software startups in the old school artificial intelligence. * modern SA
32.
by MAXPOOL 4y ago
What do you think after read the abstract? https://arxiv.org/abs/2202.05146 >... Existing methods are computationally expensive as they rely on heavy candidate sampling coupled with scoring, ranking, and fine-tuning
33.
AI model finds potential drug molecules a thousand times faster(news.mit.edu)
4 points by MAXPOOL 4y ago|6 comments
34.
by MAXPOOL 4y ago
>Conclusions >The stock of human capital plays an important role in economic growth and prosperity (e.g. Bishop 1989, Toivanen and Väänänen 2013, Aghion et al. 2017). Cognitive scientists studying population trends in measured intelli
35.
Economic incentives help explain a longstanding puzzle (Flynn effect)(voxeu.org)
2 points by MAXPOOL 4y ago|1 comments
36.
by MAXPOOL 4y ago
How is the cost compared to geothermal heating?
37.
Can brain activity transmit transgenerationally?(sciencedirect.com)
2 points by MAXPOOL 4y ago|0 comments
38.
Measuring robot quality: Slowing improvement is a possibility(voxeu.org)
2 points by MAXPOOL 4y ago|0 comments
39.
We have everything in common with machine learning, except, of course, language(statmodeling.stat.columbia.edu)
23 points by MAXPOOL 4y ago|0 comments
40.
by MAXPOOL 5y ago
Votes can be bought in the UN.
41.
by MAXPOOL 5y ago
https://usun.usmission.gov/explanation-of-vote-at-the-third-... >The United States Supreme Court has consistently affirmed the constitutional right to freedom of speech and the rights of peaceful assembly and association
42.
by MAXPOOL 5y ago
This is exactly the kind of war that is most unlikely to happen between two liberal democracies [1] according to democratic peace theory [2]. Only a leader whose interests are distinct from the public and who can work without legal const
43.
Learning a Manifold of Fonts(vecg.cs.ucl.ac.uk)
1 points by MAXPOOL 5y ago|0 comments
44.
Virtual Screening versus the Numbers (computational drug discovery)(science.org)
1 points by MAXPOOL 5y ago|0 comments
45.
A Glimpse into Discrete Differential Geometry [pdf](ams.org)
1 points by MAXPOOL 5y ago|0 comments
46.
Artificial Intelligence and Machine Learning in Nuclear Physics(arxiv.org)
1 points by MAXPOOL 5y ago|0 comments
47.
Ellis Machine Learning for Molecule Discovery Workshop(moleculediscovery.github.io)
1 points by MAXPOOL 5y ago|0 comments
48.
The Logit-Normal: A ubiquitous but strange distribution(countbayesie.com)
1 points by MAXPOOL 5y ago|0 comments
49.
Protein Complex Structure Predictions, Already?(science.org)
11 points by MAXPOOL 5y ago|0 comments
50.
Yann LeCun’s 2021 Deep Learning Course at CDS free and fully online(cds.nyu.edu)
230 points by MAXPOOL 5y ago|22 comments
51.
On the Opportunities and Risks of Foundation Models(arxiv.org)
4 points by MAXPOOL 5y ago|0 comments
52.
by MAXPOOL 5y ago
Biology/biochemistry can squeeze a good amount of computation from just 20 watts. Even if we could get equal computation from silicon and have an algorithm to run near human-level general AI, humans can maintain the comparative advan
53.
From collections of independent, mindless robots to superstructures(robotics.sciencemag.org)
2 points by MAXPOOL 5y ago|0 comments
54.
by MAXPOOL 5y ago
For a short and very non-technical article, this is well written. The current approach to machine learning is not going to go towards general-purpose AI with steady steps and gradual innovations. Things like GPT-3 seem amazingly general a
55.
by MAXPOOL 5y ago
Deep learning machine learning models are statistical and probabilistic models. You can categorize Deep Learning under both computer science and statistics. For example stat.ML and cs.LG in Arxiv. Machine learning and statistics are close
56.
Ex post peer review encourages high-risk research, ex ante review discourages it(arxiv.org)
2 points by MAXPOOL 5y ago|0 comments
57.
Ideas in statistics that have powered AI(news.columbia.edu)
204 points by MAXPOOL 5y ago|78 comments
58.
by MAXPOOL 5y ago
PAC is very general concept. PAC learnability can be stated differently using VC dimension or sample compressibility.
59.
by MAXPOOL 5y ago
>The not very surprising conclusion is that both intelligence and practice are important factors in chess skill development. On their own, however, they can only explain certain aspects of development. For example, practice has its stron
60.
Intelligence and Practice in Chess Development(chessable.com)
47 points by MAXPOOL 5y ago|17 comments

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