superfx

Anyone know why China is not on the list of countries in which Pfizer is seeking regulatory approval?

The Glass Bead Game is one of the best books I've read, and I think palpably changed how I think about some things even though I read it as an adult. I even wrote a blog post about it: https://moalquraishi.wordpress.com/2013/05/05/the-glass-bead...

Another book I'd recommend (in a very different category) is Godel, Escher, and Bach, by Douglas Hofstadter.

Would you mind linking to the 21 Jump Street scene? I'm very curious. As an American nerd in my late 30s, I definitely recall being relentlessly teased as a kid. I don't have kids of my own now and so I don't really know how and if things have changed, but if true this would be a very positive development!

Doesn't that mean the effective R0 value for COVID-19 should be higher then?

This strikes me as the quintessential problem with autocracies. Sometimes one gets extremely efficient governments in the short term, when the autocrat is competent and not entirely corrupt, but in the long run whatever short term gains were had are squandered by corruption and greed. Democracy is inefficient in the short term but efficient in the long run.

This may give some sense of what it can do:

https://reference.wolfram.com/language/

See also: https://www.biorxiv.org/content/10.1101/589333v1

Science paper: http://science.sciencemag.org/content/362/6419/1140

NYT article summarizing some of the issues addressed: https://www.nytimes.com/2018/12/26/science/chess-artificial-...

> Their chess AI beating Stockfish involved some at least a bit questionable setup.

I believe their eventual Science paper addressed these concerns.

"E-scooters aren't a reliable way to get anywhere yet, and who knows if they'll ever be, not to mention that they are not for everyone. My grandmother is not going to ride one -- nor my wife, for that matter, nor should the kids. But the Subway is a common denominator."

I used to think so, but some European cities really do offer counterexamples. I'm thinking of places like Munich, Vienna, and Copenhagen. It's not uncommon to see people there who, by American stereotypes, wouldn't be expected to ride scooters: moms with kids, men in suits, etc. Perhaps the urban cultural gap is so vast that what you're saying is indeed true of the US, but I wouldn't take it as a given.

It looks that way because they're moving rapidly from one face configuration to another. But there's no way that's happening by random. I would guess that even just holding the cube constant in a dynamic grip is quite difficult.

I think the same exact thing happened with NIPS 2011 in Reno.

I would say the biggest thing is obviously the architecture, coupling LSTMs with the geometric units that spit out the actual 3D structure that can then be directly optimized via the dRMSD loss function. That's the biggest point of distinction from everything else out there (no contact map prediction, etc.) So it really is about end-to-end differentiability IMO, which hasn't been done before.

As for why it took so long, it is and it is not fine-tuning. Getting RGNs to train _at all_ was a rather difficult process, and required a lot of finicking around. But since I got them working, I haven't actually spent all that much time fine-tuning them, and so I expect there to be a lot of low-hanging fruit in terms of optimizing performance (starting from the baseline I found.)

Yes! Certainly on the source code, and hopefully on CASP13 too.

Re drug discovery, often times in “rational” drug design, medicinal chemists try to make small molecules that bind snuggly into a binding pocket on the protein. Having the structure of the protein aids greatly in that process.

I do think however that protein folding is very much understudied in the ML community, relative to say the big three of vision, NLP, and speech. The lack of standardized data sets and benchmarks, not to mention the need for domain knowledge, have made it difficult to get into the field

Hi! I’m the author of the paper. Not sure why you say Rosetta isn’t mentioned? It’s extensively referenced throughout the paper, discussed in the discussion section, and is one of the top 5 CASP servers compared to in the results section.

Also as for how it’s different from what’s described in the paper, that’s the topic of the introduction of the paper. Rosetta uses both fragment assembly and co-evolution methods.

But they seemed to have picked closest neighbors in pixel space instead of z-space, which is not the best idea, no?

Oh yes my bad. I meant to say I took Andrew's CS229, and Daphne's CS228. I never took CS221.

I took CS221 from Andrew in 2006 (or was it 2007?) Even more has changed since then ;-) It was my second ML course, after taking Daphne Koller's punishing CS229. Right then though I knew ML will sweep the world pretty soon.

May wanna look at Phased LSTMs: https://arxiv.org/abs/1610.09513

Funny thing is that the population of Texas is a little less than half that of France's (27 mil vs 66 mil), so the density differential isn't _that_ large, yet your point about the implausibility of 450 trains in Texas stands.

Also, I suspect the more relevant number is the "Tensor" ops that Nvidia recently reported for Volta at 120 TFLOPS [1], which would be relative to Google's TPU a "mere" 1.5x speed up. Of course, this is pure speculation on my part.

1. https://devblogs.nvidia.com/parallelforall/inside-volta/

It's been a while, but I think my best time on expert was 63s.

This is awesome! I was a pretty serious (classic) minesweeper player and was even ranked pretty highly internationally. Curious: did other people have their intuition translate "incorrectly" at first? I kept on blowing up cells because I hadn't yet fully internalized the changes that occur in 3D (I know the rules are the same, but the "pattern recognition rules" are not quite the same.) It was really interesting having to step back and rework out the implications of things in 3D. In some vague sense I feel like this is a bit like how some mathematical theorems hold in certain number of dimensions but not others (e.g. random walks). Cool game!

Yeah I can see that, but they're running into the other problem now where 12GB is just not that much more than 11GB and certainly not worth the 100% price increase. At 16GB they would at least be offering ~50% more memory.

Why not more memory? Esp. with the 1080Ti at 11GB and half the price, it would've made sense to push this to at least 16GB or even 24GB to distinguish it.

Still no collapsable hierarchy of cells. This is the one feature I miss most from Mathematica notebooks.

The US is a very large and culturally heterogenous country. While some of your concerns are valid, I suspect you will find much in common with people living in liberal coastal cities like SF, NYC, Boston, etc.

He was detained after Trump was elected, although it is true that CBP claimed the holdup was due to Obama-era rules.