309
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17
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10
PODCASTS
Search complete. 309 mentions across 17 episodes found for "e".
Oct 28, 2026
Where Does Genius Come From? | Michael Levin
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37:55Michael LevinGUEST
It isn't doable for equations of higher degree.
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38:00Michael LevinGUEST
What would you do in physics if you're God at the beginning of the universe and you could tweak all the constants around the Big Bang? What would you do to change that fact? What would you do to change the digits of E? There's nothing you can do, right? These facts, the fact that the prime numbers have the certain properties and certain symmetry groups, these things, you can't just fire all the mathematicians and hope the physics department discovers these things.
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38:26Michael LevinGUEST
You can't tweak anything in the universe, in the physical universe to make these things different.
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38:32Michael LevinGUEST
So I would claim we already know that there's a space of truth that is not physics, and yet it affects what happens in the physical world in terms of biology, in terms of physics.
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38:42Michael LevinGUEST
If you want to know something about particles, you say, well, why do the fermions do this or that? Eventually you get the answer, oh, it's because this symmetry group has this and this properties.
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38:50Michael LevinGUEST
Okay.
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38:51Michael LevinGUEST
If you want to know, hey, why do the cicadas come out at 13 and 17 years? Oh, so the predators don't time their emergence cycles.
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38:58Michael LevinGUEST
Okay, but why 13 and 17? Ah, because they're prime.
"The Elegant Universe": The Theory of Everything, Mind, Meaning and AI with Professor Brian Greene
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53:24Brian GreeneGUEST
But the actual numerical value of the dark energy necessary to explain the observations is bizarre.
B
53:32Brian GreeneGUEST
We're used to numbers in physics like one, zero, square root of two, E, pi, things like that.
B
53:39Brian GreeneGUEST
The number that popped out from the observations to explain the accelerated expansion is 10 to like the minus 120, a decimal point with 120 zeros and a one.
B
53:52Brian GreeneGUEST
And we're like, how can we ever explain a number like that? Well, Lenny comes along and says, different shapes for the extra dimensions give rise to different values for the dark energy.
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56:21Wasim AkhtarHOST
So this branching of universe is something that I kept thinking, maybe in the middle of night I wake up and say that, okay, what is happening here? Is there any other universe?
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56:31Brian GreeneGUEST
Yes.
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56:32Brian GreeneGUEST
And that's closest in spirit to the quantum mechanical version of the multiverse story, the one that does go directly back to Hugh Everett in 1957, because...
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56:46Brian GreeneGUEST
In quantum mechanics, as I mentioned, the best we can do is predict the probabilities of various outcomes.
Stanford Lecture: Donald Knuth - "Bayesian trees and BDDs" (2011)
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26:32Donald KnuthGUEST
Then S has a branch down here to T and T has a branch down here to you.
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26:39Donald KnuthGUEST
And another one to V call is D, E and F.
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26:43Donald KnuthGUEST
And then, you know, it's going to going to be done in a minute.
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26:48Donald KnuthGUEST
But as you know, I'm running out of letters.
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29:26Donald KnuthGUEST
So each each Q.R.S.T.
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29:29Donald KnuthGUEST
So on through Z. There's 10 of them.
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29:32Donald KnuthGUEST
Each each can be either zero or one.
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29:34Donald KnuthGUEST
So I have two to the tenth of states thousand and twenty four states of the system.
How (and why) to take a logarithm of an image
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31:57Grant SandersonNARRATOR
The one constraint is that these functions have to have derivatives, but this will be true for most of the functions you think to write down.
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32:37Grant SandersonNARRATOR
In this case, there are really only two more functions that you need to understand, e to the z and the natural log.
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32:44Grant SandersonNARRATOR
I want to settle in and spend some meaningful time understanding both of these, and I think you'll agree that it's time well spent.
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32:49Grant SandersonNARRATOR
Everybody deserves, in my opinion, at least one time in their life to experience the joy of understanding a complex logarithm.
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32:56Grant SandersonNARRATOR
First, though, a necessary prerequisite is to understand the complex exponential.
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33:01Grant SandersonNARRATOR
Regular viewers will be familiar with what it looks like to raise e to the power of a complex number, but a little review just never hurts.
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33:09Grant SandersonNARRATOR
We can start scaffolding the transformation just by focusing on the more familiar examples of real number inputs and the real number outputs they correspond to.
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33:17Grant SandersonNARRATOR
For example, e to the 0 is 1, so this point at 0 maps over to this point at 1, and then every time you let that input increase by 1, the output grows by a factor of e. meaning it runs away from us actually quite quickly.
Stanford EE259 I Lidar principle of operation, laser physics I 2023 I Lecture 15
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5:00Reza Nasiri MahalatiHOST
That's just a superposition principle, so that's why there's a s- there's a sum here.
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5:05Reza Nasiri MahalatiHOST
And then the signal from each target, it has what we call a spatial phase term, which is this E to the J big omega PI.
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5:14Reza Nasiri MahalatiHOST
P for the index, again, for the virtual antenna, I for the target.
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5:17Reza Nasiri MahalatiHOST
That's why there's double indexing here.
20 MINS LATER
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25:28Reza Nasiri MahalatiHOST
Better at small angles, meaning down boresight, worse at larger angles.
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25:34Reza Nasiri MahalatiHOST
And also, uh, to improve your DOA resolution, you need arrays with bigger apertures.
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25:41Reza Nasiri MahalatiHOST
Either more elements or space them further apart, bigger aperture, better resolution.
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25:46Reza Nasiri MahalatiHOST
Okay?
Stanford EE259 I Radar antenna designs and characteristics I 2023 I Lecture 11
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12:37Reza Nasiri MahalatiHOST
Um, so, um, some terms cancel out, but what you're left with is, um...
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12:44Reza Nasiri MahalatiHOST
So o- of course, the mu, which is the gain of the amplifier, and this echo amplitude just carry over, but, uh, we're concerned with, you know, the time dependency of it, right? So what you get at the end of the day, you get E to the J two pi.
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12:57Reza Nasiri MahalatiHOST
Um, let me go one step further.
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12:59Reza Nasiri MahalatiHOST
Um, so the...
43 MINS LATER
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56:22Reza Nasiri MahalatiHOST
So, so if the sensor moves, what can happen is that when your transmitter transmits a waveform, by the time the echo is received back, you are at a different position, right? And that position...
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56:36Reza Nasiri MahalatiHOST
Well, you might think, "Oh, but we can ignore it." Uh, well, it turns out that no, it's, it's not negligible.
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56:42Reza Nasiri MahalatiHOST
Even if you're moving at like a few meters per second, which is 1% of the speed of sound, that effect can be significant.
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56:52Reza Nasiri MahalatiHOST
So by the time you receive the echo, your platform has moved enough that that movement is gonna cause errors in the range and the bearing angle estimation.
“Data as particles and mean field theory abound” by Max Hennick
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4:12Type 3 AudioNARRATOR
Notice that every particle shares the same W.
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4:16Type 3 AudioNARRATOR
To see why this is important, imagine a black box with three light bulbs on top who are wired in some unknown way, whose brightness reports the energies E sub A, E sub B, E sub C, and a panel of twenty unlabeled knobs.
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4:30Type 3 AudioNARRATOR
We know nothing about what the knobs do, but we want to understand how the light bulbs are wired.
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4:36Type 3 AudioNARRATOR
Now imagine we start twisting the knobs and just seeing what they do.
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8:22Type 3 AudioNARRATOR
At third order, there's a complex formula here, measures whatever remains of the joint behavior of the three particles after the lower order structure has been accounted for.
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8:33Type 3 AudioNARRATOR
At fourth order, we ask what genuinely four particle structure remains, and so on.
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8:39Type 3 AudioNARRATOR
Each order therefore answers roughly the question, what is new here that I could not have inferred from the orders below? In this sense, the data distribution define a whole hierarchy of interactions of different orders, all mediated through the same shared parameter vector W.
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8:56Type 3 AudioNARRATOR
Two data points can be coupled because changing W changes both of their losses together, but collections of three, four, or more data points can also have collective responses which cannot be decomposed into pairwise effects.
Stanford EE259 I MIMO imaging radar, direction of arrival est, target detection I 2023 I Lecture 13
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4:55Reza Nasiri MahalatiHOST
So all of that is lumped into just one, uh, complex factor Alpha.
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4:59Reza Nasiri MahalatiHOST
And then, um, you have basically, uh, uh, uh, a, uh, time varying term, uh, with frequency delta F, E to the J, two pi delta FT. Um, so, so, so, so that's the frequency of the IF signal delta F.
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5:15Reza Nasiri MahalatiHOST
And then you have a phase term, uh, which doesn't change over time, um, but it depends on the round trip delay tau.
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5:22Reza Nasiri MahalatiHOST
So we just call that E to the J, uh, phi of tau.
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5:25Reza Nasiri MahalatiHOST
So this is our phase term essentially, and that's our frequency Um, or time varying term.
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5:32Reza Nasiri MahalatiHOST
Okay? So what is, uh, specifically delta F is, uh, uh, we showed that there is, uh, uh, basically two, the two things contributing to the frequency of the, of the IF signal.
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7:33Reza Nasiri MahalatiHOST
Okay? So we, we, we checked with some, um, you know, um, um, numbers that are actually, um, um, kind of, uh, uh, pretty conservative estimates.
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7:42Reza Nasiri MahalatiHOST
So we assume a target going at 100 miles per hour that was just a few meters in front of the receiver, and receiver working at seventy-seven gigahertz.
Human-in-the-Loop Machine Learning: Active Learning and Annotation for Human-Centered AI (Robert Monarch)
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12:23speaker_1HOST
You are going to completely miss all the nuanced human headlines that say things like, "Seismic event devastates region," or, "Tremors collapse local infrastructure."
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12:32speaker_0HOST
Oh, right, because those headlines do not contain the literal string of characters E-A-R-T-H-Q-U-A-K-E.
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12:38speaker_1HOST
Exactly.
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12:39speaker_1HOST
Furthermore, you create a completely non-representative mathematical sample.
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12:44speaker_1HOST
The machine learning model does not learn the complex linguistic structures of how disasters are reported.
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14:31speaker_1HOST
The remaining pool of ninety thousand headlines has been artificially drained of all its confusing items.
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14:37speaker_1HOST
You literally skimmed all the hard stuff off the top.
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14:40speaker_0HOST
Exactly.
Linear First-Order Differential Equations
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3:09Dave FarinaHOST
This DE isn't separable, but it is linear, because we can write it in the standard form, with p of x equal to 1 over x and q of x equal to 3x.
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3:20Dave FarinaHOST
Step one is to write down the integrating factor, which is I of X equals E to the power of the integral of P of X DX.
D
3:30Dave FarinaHOST
Here, the integral we need to find is the integral of 1 over X DX, which is the natural logarithm of X.
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3:38Dave FarinaHOST
When we're finding integrating factors, we do not need to put a plus C like we usually do, we can just write down the antiderivative on its own.
D
3:47Dave FarinaHOST
The E and the LN cancel, leaving us with just X for our integrating factor.
D
3:53Dave FarinaHOST
We can now use the formula IY equals the integral of IQ.
D
3:59Dave FarinaHOST
We get X times Y equals the integral of 3X squared DX.
D
4:06Dave FarinaHOST
Evaluating the integral using the power rule gives us X cubed plus C, which leads to our general solution.
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