leecarraher

I generally disregard bitcoin speculation and opinion articles. Not just because it seems bitcoin market prices are hard to predict, but also due to the fact that bitcoin, being an unregulated market(for better or worse), means that otherwise illegal practices for the stock market(e.g. pump and dump) are legal.

i would think BGP is needed now more than ever considering the move to ipv6.

I agree that many companies should pay more competitive salaries , but doesn't this disproportionately hurt people in higher cost of living areas? Everyone else gets a pay increase, the company's bottom line tightens, and higher cost of living area folks get nothing for it. I live in an area with a relatively low cost of living, and the only way I would consider moving elsewhere would be if the salary were increased proportionately to that higher cost of living such that I could maintain a similar level of comfort (beach+not negative degree temperatures ~ a couple $K).

who down-votes a paper suggestion, and is too afraid to explain why.

Dynamic Routing Between Capsules the long awaited paper from Geoffrey Hinton (although Sara Sabour is principal author, Hinton has been hinting at this for a while now) on an alternative to back-propagation https://arxiv.org/abs/1710.09829

Let's just hope that the clunky scroll site is not indicative of their overall regard for usability.

aes isn't broken by factorization of composites of prime. if the op had said rsa, sure, but they said aes (it was changed you can tell because there was never such a thing as 128bit rsa), but thanks for telling me about that "new" shor's algorithm devised in 1994.

citation? A theoretical understanding of bits in quantum superposition would support the notion of traversing all combinatorially related possibilities however that is not the case for any realizable quantum computer. Realizable machines are based on specific quantum logic gates. otherwise you would have to design at the electron level, a new processor for every problem.

I'm think this is a work in progress? Seems to be in ieee format, where pages are gold, and one would almost never waste an entire on references(surveys), and leave another mostly blank space. I'll wait for the peer reviewed version.

now i need to start working on a white paper for a cryptocurrency called goldcoins, that removes the restrictions of cryptography, that is transparent to government oversight, and allows for government manipulation.

It is element-wise sin, which is not entirely correct. You can take the sin of, or any analytic function of a matrix, however you'd have to compute the characteristic polynomial for the matrix and apply the function to that. It is a result of the Cayley-Hamilton Theorem. here is a tutorial: http://web.mit.edu/2.151/www/Handouts/CayleyHamilton.pdf

Is there any proof that there is not an "FM" module? I saw the verge article, and the daringfireball, but neither of those writers are technical writers. A baseband radio, on any cellular device does FM modulation for the QAM/QPSK symbol decoding at base frequencies that would handily cover the FM band. Of course this may still not be possible due to the baseband processor's capabilities, but I'd like some technical data that proves this.

More colloquial description with background - https://rjlipton.wordpress.com/2017/09/11/a-tsp-breakthrough...

Sorting seems like a memory hard problem where the computationally optimal, merge sort solution, is heavily branched, two things gpus have never been terribly good at. Furthermore, the synchronized program counter per block of threads, presents a considerable road block to getting optimal thread occupancy specifically in the cuda architecture.

yo damn kids and your composites primes and abelian groups, GET OFF MY LAWN

disabled it in the bios and physically disconnected it, the day i got it.

does this differ at all from other organizations that have a strongly biased demographic. I work in tech. and admit there is a bias, but that is one of the many reason i prefer to working in a tech field. Is the difference, that in tech, in particular the silicon valley tech sector, work work and life are so intertwined, that not only is your work-life politically bias, but by virtue of this a la carte lifestyle, everything else is too.

This https://www.amazon.com/Probability-Statistics-Engineers-Scie... is the newer version of the stats book i had in undergrad, But @anst makes a good point about scikit learn. there is alot of good math to learn just from the docs and you can then investigate further on wiki, quora, stackexchange.

for the what's up in Data Science i like datatau.com. and there are some great podcasts too, like datascienceathome and partiallyderivative (there are lists).

Those are ML and AI frameworks that use a tremendous amount of mathematics under the hood, but you can also reliably treat them as blackbox learning systems too. Understanding the model generation procedure and setup is often unneeded. And many tools will help direct you toward what algorithms makes the most sense for your data, and even have competitions to figure out which actually works best. I agree, it's a little disappointing, but admittedly it doesn't take a PhD to do this stuff anymore.

It is important to note that just because you can do all the stuff a PhD Scientist might regularly do, doesn't mean that someone will hire you for it. In that case you might need to have a PhD in mathematics, computer science or a related field. But that is more a consequence of competition and long term talent investment, than the practice of ML/AI itself.

It will depend on the level you plan to engage in the ML/AI space. If you just want a job in ML/AI , you are in luck. Due to the growing assortment of available, mostly to fully automated, solutions like Datarobot, H2O, sckit-learn, keras(w/ tensorflow) the only math you will absolutely 'need' is probably just Statistics. Regardless of what's going on behind the scenes with whatever automatically tuned and selected algorithm your chosen solutions uses, you will still need some stats in the end to show the brass that 'your' model works. the upside is that then you can spend time, learning feature extraction, data engineering, and the aforementioned toolkits, in particular what models they make available.

If you want to develop new techniques and algorithms, the the skies the limit, you'll of course want Stats too though.

and computers realized that ai didn't even have to be that smart to bring humanity to its knees. http://www.npr.org/sections/money/2015/02/05/382664837/map-t...

Although it's pretty clear that the us has a problem that other countries don't, whenever I see asymmetric comparisons like these I get suspicious of sensationalism. Why not a Per capita , number of shootings year by year, and if you need a headline, "US has 10-100x more police shootings than the these countries"?

I like this concept, but maybe add sandboxing too.

It is technically k-means, seeing as there are always k=6 or a user specified number of colors reported regardless of the input picture. What k-means algorithm they are using though is uncertain. Could be some form of quantization, or a lloyd type k-means. Could also be hierarchical agglomerative or many-many others. What would be interesting to try out would be some non-parametric clustering algorithms like the image recognition staples mean-shift and dbscan.

United and American Airlines suggest that we ban cell phones with cameras(probably shouldn't have to make this distinction) too, for umm safety.

http://itsalwayssunny.wikia.com/wiki/Flowers_for_Charlie so aptly named as the book was "flowers for algernon" and the movie adaptation was simply called "charly"

I generally trust Nature, but unfortunately i can only access what appears to be more of an abstract, but i hope it addresses the concerns of http://news.berkeley.edu/2016/11/22/young-blood-does-not-rev... and similar research suggesting these claims could be anomalies.

in my home state we have one of the longest bike trails in the US, but it's pretty useless for getting anywhere. It's a beautiful trail but doesn't go into any metropolitan areas. I'd think my favorite biking concept is the parked car protected lane. similar to how sidewalks would be, but with no curb between the parked cars and the bike lane.

i was thinking the same thing, what's the overall benefit. lower heart disease and cancer risk by some amount in your future, versus an increase in road accident risk today. The solution is more bike lanes of course. And by bike lanes, i mean clear lanes, not garbage lane for shit from the road to be pushed into.