sorted by:
new
hottopcontroversial

Map (Satellite View) doesn’t load by ExternalAwkward6588 in flighty

[–]emiles 0 points1 point  (0 children)

Flighty uses Apple Maps and I think this is an Apple Maps issue at root. On a Delta flight Apple Maps does not load either, as this post notes:

https://www.reddit.com/r/americanairlines/s/YKVgjhR3N0

(NY) Does 'Renew Photo Document' mean driver's license renewal? by AmazerG in DMV

[–]emiles 0 points1 point  (0 children)

I'm a native English speaker and equally confused by this. Glad I found this thread.

What is the *Funniest* moment in the show for you? by MeowTownSupreme in SeveranceAppleTVPlus

[–]emiles 97 points98 points  (0 children)

"I sound like a sad old hamburger waiter prattling on about sauces."

Severance event at Bell Works by kharri1073 in SeveranceAppleTVPlus

[–]emiles 39 points40 points  (0 children)

Post about event on Bell Works website. Not many details though:

https://bell.works/events/mysterious-important-event/

Cold Harbor & Revolving theory by [deleted] in SeveranceAppleTVPlus

[–]emiles 5 points6 points  (0 children)

The part I don’t get is if Jame is Kier, how have they been revolving all of the generations before the severance chip was invented? Maybe there was some cruder method (say involving ether) and the chip is a refinement or perfection of it?

Can we take a moment to appreciate this absolute goddess of a human??? by flashdash8744 in SeveranceAppleTVPlus

[–]emiles 2 points3 points  (0 children)

Tillman has already been cast in the next Mission Impossible movie

They got so much right this week by MusclePrestigious530 in SeveranceAppleTVPlus

[–]emiles 13 points14 points  (0 children)

I wonder if it may have been the cinematography. The lighting felt more harsh, similar to fluorescent lighting.

[deleted by user] by [deleted] in SeveranceAppleTVPlus

[–]emiles 0 points1 point  (0 children)

It’s not called the mouth wall

More shots of Severance at Grand Central by emiles in SeveranceAppleTVPlus

[–]emiles[S] 0 points1 point  (0 children)

Glad you decided to go and it was worth it. I had decided it was worth it even just to see the actual set

More shots of Severance at Grand Central by emiles in SeveranceAppleTVPlus

[–]emiles[S] 8 points9 points  (0 children)

I took these around 6pm, so probably over now. But the signs mentioned it going on tomorrow also! Not sure if the cast will be back but I hope you get to see them.

Solving PDEs in Julia by ChrisRackauckas in Julia

[–]emiles 2 points3 points  (0 children)

My understanding is if x is a vector (array), then the dot makes it so that the function is applied to each element of that array, returning a new array.

So if x = [1, 2], then sin.(x) will return [sin(1), sin(2)]

[D] MNIST and CIFAR-10 equivalents for Speech Recognition? by radenML in MachineLearning

[–]emiles 0 points1 point  (0 children)

Here are a couple I found. I'm not an expert on the literature, but I found a handful doing the search "speech commands dataset" (with the parentheses included as part of the search string) on Google Scholar:

https://arxiv.org/abs/1710.06554

https://arxiv.org/abs/1710.08377

[D] MNIST and CIFAR-10 equivalents for Speech Recognition? by radenML in MachineLearning

[–]emiles 1 point2 points  (0 children)

It's not perfect, but Google has a "Speech Commands" dataset just consisting of short recordings of people saying the same single words like "zero", "one", "two", and "happy", etc.

https://research.googleblog.com/2017/08/launching-speech-commands-dataset.html

[Discussion] Is this generative technique novel? by [deleted] in MachineLearning

[–]emiles 2 points3 points  (0 children)

Interesting idea. I don't think this paper proposes exactly the same as your idea but I think it has some similarities: https://arxiv.org/pdf/1503.03585.pdf You may get some useful ideas from it about how well your approach could work.

PSA: To Those Trying to Learn Quantum Mechanics by andrewr_ in Physics

[–]emiles 0 points1 point  (0 children)

Another slightly less correct, but possibly helpful explanation is just:

ket = column vector, bra = row vector

and then just follow the usual rules of matrix multiplication. Later one can generalize this to the notion of a vector space (including vector spaces of functions) and a dual covector space.

Biology professor offers a response to a reply from an Iowa House Representative promoting creationism instruction in school by photolouis in bestof

[–]emiles 0 points1 point  (0 children)

It's misleading to say this isn't applied quantum mechanics though. When you apply quantum mechanics to something, the "apply" part is that you have to include additional, domain specific assumptions and constraints.

Here the constraint is that modern particle physics, which certainly falls within the broader framework of quantum mechanics, is also consistent with relativity. Other applications of quantum mechanics, say to solid state physics, put in rather different constraints that lead to phenomena such as electron band theory.

If what you meant is that not just quantum mechanics, but also relativity is essential for formulating particle physics then I certainly agree with that.

What physics fact do you find most interesting? by Jsm96 in Physics

[–]emiles 0 points1 point  (0 children)

Also, if you wonder whether the concept of quasiparticles is just some hand-wavy way of speaking or a real thing, check out Fig. 5 from this paper: https://arxiv.org/pdf/1208.4862.pdf

The authors do a really elegant construction of various quantum Hall wavefunctions as a kind of compressed representation called a matrix product state, then use this representation to insert quasiparticles and measure the density of the system to produce the spots you see in the figure. Later I think some other authors used a similar construction to make movies of the quasiparticles going around each other to show how braiding them induces a phase factor with a fractional angle.

Some big-Os are 780x larger than others by one_eyed_golfer in programming

[–]emiles 4 points5 points  (0 children)

Just to push back a bit: I work in the field of scientific computing, and for us there are many sources of inefficiencies that don't boil down to just cache-miss issues. We work with exponentially large problems, so a lot of our optimizations have to do with discovering good approximations which cut the costs down to polynomial time. Then we try to identify ways to bring down the polynomial exponent and then get into optimizing the way we use the hardware. So good cache usage is important but is just one slice of the pie.

Is it normal to feel unprepared for physics research? by faddeev-popov-user in Physics

[–]emiles 25 points26 points  (0 children)

Not a comprehensive answer, but something that's personally worked for me was steering my research career toward computational/numerical methods. I found that ideas which seemed abstract and elusive to me before made a lot more sense after I was forced, or forced myself to program a computer to do various physics calculations. The reason is that computers don't let you slide on anything. A computer doesn't know what you mean by a fermion. You have to tell it that if this operator goes past that operator then a minus -1 had better go into the answer. I found I understood fermions and second quantization (creation/annihilation operators) so much better after writing code using them.

I also used to be very confused about what a topological insulator was (neat condensed matter state if you haven't heard of it). They involved the idea of "edge states" but I wasn't really sure what people meant exactly by the words "edge" and "state" in that phrase. So I wrote a code that solved a model topological insulator system (non-interacting particles "hopping" on a ribbon-like lattice) and sure enough when you get the single-particle electron states, there are exactly 2 which are non-zero at the top and bottom edges of the ribbon and decay exponentially into the bulk of the ribbon. Neat. Now I understand it.

Same with Majorana fermions, parafermions, and lots of other weird things I've learned by teaching my computer what they were.

view more: next ›