sannee

I live in a landlocked country and nearly everyone I know can swim. People usually swim in public pools, lakes or ponds. Swimming is also very often part of the PE middle school curriculum here.

> probably don't even know how to swim

I find it surprising that clearly sport-oriented children from a fairly popular tourist beach destination don't know how to swim.

> This observation does not lend much credence to the idea that grades are "highly predictive of ability" or that people with low grades "often struggle a lot".

The paper does not seem to control for differences between colleges. It's unsurprising that the predictive value of, say, 3.8 GPA would massively differ between individual schools.

It has been a while since I read the standard, but this seems well into the realm of undefined behavior, not implementation defined.

I now wonder if there are any psychoactives produced by bacteria. Or how hard would it be to transfer some metabolic pathway to get drug-producing bacteria (DMT biosynthesis seems pretty simple, just two proteins...).

Depending on your classification of "startup", there is a massive amount of (illegal, of course) drug distributors using blockchain-based cryptocurrencies to conduct their business.

Moodle is also that piece of software which allows teachers to include arbitrary javascript in the course content, allowing them to XSS themselves to an admin role.

Or use whatever tools are included in their language for safely evaluating strings (like ast.literal_eval in Python).

It's Full-HD on 5.5 inches, so you can likely fit fairly dense text on there.

There is a python library+utility which can take screenshots over Ethernet - https://github.com/pklaus/ds1054z

> random amount of heat

Random noise would just mean that you have to take multiple measurements and average them. Depending on the system in question, "multiple" may or may not be impractically many.

That would make sense - the previous slides talk about adulteration/faking the "olive" part, which had me confused.

I found the Qucs technical reference very enlightening - http://qucs.sourceforge.net/tech/ .

> one study found that 69 percent of imported olive oil labeled "extra virgin" did not meet, in an expert taste and smell test, the standard for that label

Wat. Can't we do some more quantitative method to figure out if the oil comes from a completely different species?

Heh, I never realized doubles can fit a googol. I knew they work up to 1e300-ish, but never made this explicit connection.

Maybe suggest using polynomials instead of neural networks next time that happens? :)

Yeah - the best Stratix 10 can do 9.2 TFLOPs. A GTX 1080 Ti can do 11.3 TFLOPs. Now I can't find any price info on those Stratixes, but given how expensive these FPGAs generally get, I highly doubt it will be anywhere near the $700 for a 1080 (and that's for the entire card!).

I am not saying these things don't have applications, but the "usual" computational workloads are not one of them.

Presumably the file is a recording of a human operating the car?

> They cannot compete with GPUs on flops with Xeon, but an embedded FPGA might get them closer.

FPGAs aren't known for their FLOPs though. Sure, the high end ones pack a punch, but compared to GPUs are still extremely expensive.

That's extremely non-selective - for instance [1] is a random paper discussing ethanol interacting with the 5-HT2A receptors (at least if you are a male rat that is).

It would likely also lead to unforeseen consequences. For example, the Czech government attempted to ban growing Phalaris, but had to backpedal as it's a common unassuming weed.

[1] https://www.ncbi.nlm.nih.gov/pubmed/9347073

> If the test is based on the standard middle/high school curriculum (if there is one), then it can be a fairly good predictor.

I doubt that, humans are capable of overfitting standardized tests extremely easily. Just doing a single practice run will usually give you significant advantage. You would have to "regularize" by changing the test structure/types of questions/whatever every year, which is not really feasible.

> Otherwise, even if it is an arbitrary test, it takes study skills and discipline to be able to master it. I imagine that both of those traits correlate with performance at school.

Sure they do - except now you have got students training for a significant part of their middle school life for an arbitrary test instead of some "real" education.

Another cool Python DP hack is using @functools.lru_cache to perform the memoization (beware of the maxsize parameter though).

Just the other day, I heard someone talking about a "single layer neural network with no activation"...

You can buy the Simatic PLCs they targeted on ebay for a few hundred bucks.

Industrial automation stuff like this is a common part of the "technical high school" curricula where I live. (of course only on the "press this button and then that happens" level)

If you are seriously interested in using 500$ chip in any "interesting" volume, shelling out 5k$ for a dev board is nothing you would care about.

> increasingly smaller number and expensive lot of folks.

There is this sentiment on HN that people in EE/embedded space don't really get paid well (compared to the average Javascript-slinging frontend dev). Is this not true for HDL folks?

Eigen{vectors,values} seemed like this totally arbitrary concept when I first learned about them. Later it turned out that they are actually really awesome and pop up all the time.

Multivariable function extrema? Just look at the eigenvalues of the hessian. Jacobi method convergence? Eigenvalues of the update matrix. RNN gradient explosion? Of course, eigenvalues.

So is calculus, yet apparently most CS students can't really integrate shit by the time they get to graduation...

> pure nicotine is harmful too

In what way? A summary [1] I have read some time ago does not seem to suggest nicotine is really harmful in any obviously offputting way.

[1] https://www.gwern.net/Nicotine#health-issues

Faster matrix multiplication is something which has application in practically every engineering field there is.