2,770 karma · joined September 11, 2009
Founder, Keygraph https://keygraph.io/ We build AI pentesting software.
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http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.98....
This is the seminal paper that laid the foundation for RDBMS systems.
At my university (NUS) the CS program had a research paper reading program, where sophomores were tasked to read and summarize a well known paper and this was one of the most popular.
It did 3 things:
1. Provided a usable solution for what was previously an intractable real world problem, large multiclass image classification, with decent accuracy
2. Crushed the prior benchmark on this task
3. Found a practical workaround to what was the biggest bottleneck, computation time, by utilizing GPUs (and made Nvidia stock explode /s)
The subsequent ImageNet competitions then later provided the perfect catalyst to refining and making deep neural nets mainstream. In parallel the sudden interest from everyone else who in turn started applying neural nets to pretty much every domain out there under the sun, was what I think ultimately made deep learning as it is to what it's today.
[The author of the paper mentioned on parent comment is Jürgen Schmidhuber - inventor of LSTMs and a very colorful character in neural land. The NYTimes did a nice profile on him a while back: https://www.nytimes.com/2016/11/27/technology/artificial-int... HN Discussion: https://news.ycombinator.com/item?id=13066646]
Here is a fantastic post on it: http://www.arachnidlabs.com/blog/2013/10/17/electronics-patt...
"But face recognition is a sensitive/politically-charged topic, I know several grad students (including me) who inspite of having ready-to-deploy scalable software and datasets (~10M instagram images) stay away from doing this type of a demo because reputational risks are enormous. Consider the controversy around geofeedia etc. The last thing you want as a PhD student is press interpreting your research incorrectly and blaming you for causing widespread harm. It happened to a student/professor in my department and even then the infamous study in question was in collaboration with the social network."
On a related note, there was a fascinating article on sf's dc grids by Spectrum https://www.google.com/amp/spectrum.ieee.org/tech-history/da... (pardon the amp link)
My office building taps into it to power the old school loading elevator!
[1] Presentation http://econ.sciences-po.fr/sites/default/files/file/melissa/...
[2] Presentation https://www.tse-fr.eu/sites/default/files/TSE/documents/doc/...
Awesome work, btw!
Here is a fantastic explanation of it: http://twistedoakstudios.com/blog/Post2644_grovers-quantum-s... [More technically involved explanation]
Interesting factoid: Scott Aaronson[2] interned with Lov Grover[3] at Bell Labs as a teenager!
[1] https://en.wikipedia.org/wiki/Grover%27s_algorithm
[2] https://blogs.scientificamerican.com/cross-check/scott-aaron... [This is a great interview, btw!]
https://github.com/tqchen/tinyflow would be a great showcase (and useful) project to port for Gpu.js
As an ex-perl dev, (looks at self) shrugs in disbelief!
Looks like the proof of concept was started way back in 2009!
We have a standardized taxonomy and ontology to which we map all our products to. It's a garbage in garbage out problem but as long as the product has the information in some sort of semi-structured or unstructured form, we typically can infer attributes and standardize them based on their ontology (i.e. They have 4 USB ports)
Reading this article, it really reminded me of one of the lead characters, Glenn Villeneuve (http://channel.nationalgeographic.com/life-below-zero/articl...), who lives a very spartan and primitive (by his own choosing) hunter-gatherer lifestyle in the Brooks Range (Chandalar, AK). He hunts for all his food and just boils them mostly (and often times eats them raw). He doesn't not use seasoning at all. I am guessing his gut microbes must be pretty robust and diverse.
Main difference between Hadza and his place is that food sources are very spread out and thin in Chandalar. Most of the show is just following him trying to find his food.
[OT: I generally dislike watching reality TV shows (and also TV in general). But this show has made me change my opinion on reality TV. Or it could just be because Alaska has a special place in my heart :)]