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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!
Re:The coronavirus pandemic in five powerful charts on Wednesday March 25, 2020 @09:40AM (#22684392)
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.
Re:Free Wolfram Engine for Developers on Tuesday May 21, 2019 @01:08PM (#19972114)
This may give some sense of what it can do:

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

Re:DeepMind StarCraft II Demonstration [video] on Thursday January 24, 2019 @02:36PM (#18992113)
Re:DeepMind StarCraft II Demonstration [video] on Thursday January 24, 2019 @01:57PM (#18991759)
> Their chess AI beating Stockfish involved some at least a bit questionable setup.

I believe their eventual Science paper addressed these concerns.

Re:The West Coast is beating the East Coast on transportation? on Wednesday January 02, 2019 @09:43AM (#18806414)
"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.

Re:Learning Dexterity on Monday July 30, 2018 @01:05PM (#17646005)
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.
Re:End-to-end differentiable learning of protein structure on Thursday February 22, 2018 @03:34AM (#16436134)
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.)

Re:End-to-end differentiable learning of protein structure on Monday February 19, 2018 @01:21PM (#16414567)
Yes! Certainly on the source code, and hopefully on CASP13 too.
Re:End-to-end differentiable learning of protein structure on Sunday February 18, 2018 @08:03PM (#16410008)
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.

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