Ciro Santilli @cirosantilli 37

The Quantum Story by Jim Baggott (2011) page 2 mentions how newton's support for the corpuscular theory of light led it to be held for a very long time, even when evidence of the wave theory of light was becoming overwhelming.

www.quora.com/Why-do-successful-geeky-white-men-have-Asian-wives-This-seems-to-be-the-norm-in-Silicon-Valley suggests it is just an statistical inevitability.

Basically it is a larger space such that there exists a surjection from the large space onto the smaller space, while still being compatible with the topology of the small space.

We can characterize the cover by how injective the function is. E.g. if two elements of the large space map to each element of the small space, then we have a double cover and so on.

It is good to see that top-universities is still keeping up with it's main purpose: spontaneous eugenics:

Very good open source book: github.com/csound-flossmanual/csound-floss

Includes introduction to the basic sound synthesis and their implementation in Csound.

Examples run on browser via Emscripten and just worked on Ubuntu 20.04!

Examples can also be downloaded all at once from: www.csound-tutorial.net/floss_manual/ Shame not in Git as standalone files.

flossmanual.csound.com/sound-synthesis/subtractive-synthesis covers Minimoog-like subtractive synthesis.

Take the element and apply it to itself. Then again. And so on.

In the case of a finite group, you have to eventually reach the identity element again sooner or later, giving you the order of an element of a group.

The continuous analogue for the cycle of a group are the one parameter subgroups. In the continuous case, you sometimes reach identity again and to around infinitely many times (which always happens in the finite case), but sometimes you don't.

Deep learning is the name artificial neural networks basically converged to in the 2010s/2020s.

It is a bit of an unfortunate as it suggests something like "deep understanding" and even reminds one of AGI, which it almost certainly will not attain on its own. But at least it sounds good.

github.com/deepmind/lab/tree/master/game_scripts/levels/contributed/dmlab30 has some good games with video demos on YouTube, though for some weird reason they are unlisted.

TODO get one of the games running. Instructions: github.com/deepmind/lab/blob/master/docs/users/build.md. This may helpgithub.com/deepmind/lab/issues/242: "Complete installation script for Ubuntu 20.04".

It is interesting how much overlap some of those have with Ciro's 2D reinforcement learning games

The games are 3D, but most of them are purely flat, and the 3D is just a waste of resources.

Applications:

Predicts fine structure.

Bibliography:

These are obviously just a manipulative lie sales practice to make you want to buy at regular price.

Shame on you.

Similarly, recurrent Internet payments that give you one year's discount, and make you put up on your calendar to call them one year later threatening to give more discounts to be as cheap as competitors or I'm out.

DNA detection means determining if a specific DNA sequence is present in a sample.

This can be used to detect if a given species of microorganism is present in a sample, and is therefore a widely used diagnostics technique to see if someone is infected with a virus.

You could of course do full DNA Sequencing to see everything that is there, but since it is as a more generic procedure, sequencing is more expensive and slow.

The alternative is to use a DNA amplification technique.

Can be seen as a cheap form of DNA sequencing that only test for a few hits. Some major applications: