But what is the Fourier Transform? A visual introduction.

Ted Nelson's Computers for Cynics probably doesn't contain technical information that's new to any of you, but Ted has a knack for reframing things in ways that make the arbitrariness of certain historical decisions clear: link On the subject of hypertext, The Web That Wasn't gives a nice history of the idea (for anybody who thinks it starts with TBL -- surprisingly many people!): link Another reframing-oriented talk is Clay Shirky's "It's not information overload, it's filter failure", which ultimately leads to Shirky suggesting the kinds of user-oriented filtering features that Mastodon has implemented: link At the intersection of neurology and information science, Peter Watts always has something interesting to say, and as a former marine biologist focusing on the nervous system of starfish, this is absolutely in his wheelhouse: link This one ("moving away from defensive programming") justified strong typing in a pretty clear way: link Dan Dennett is just as relevant as Doug Hofstadter when it comes to metacognition: link Forgotten Ideas in Computer Science starts slow, but if you don't have much of a historical background (like, if you're only vaguely aware of what happened in CS in the 70s), it's a laundry list of things you should look up and be aware of before you start your next project: link Everybody should understand procedural generation: link Likewise, since AI is hyped up right now, we should all remind ourselves that IA is a thing too: link Mo

This is one of the few people who connects math and music in a way that's both useful and interesting. I followed this channel back when I found the video on Fourier transforms[1], but never looked at other videos. I've never really thought about the math of consonance and dissonance, but I use it all the time without realizing it. For example: a hypersaw. That's 7 saws slightly detuned played at the same time. The more you detune them, the worse it sounds. If you own Serum, you can hear this in realtime if you make a 7 voice saw and play with the detune knob. You can use an LFO to modulate this and get a sound that's a little uneasy while still somehow being harmonious. It's perfect for dark/spooky music. [1] this video

Because it's a fast way to get that interactivity, rather than having to explicitly code it yourself. A good example are modern math videos on youtube, like this one (not saying that they're using G9.js in particular): this video It's 20 minutes of changing graphics. You could code all of that with P5, and it would be an excruciatingly long process. G9.js would get you there in a fraction of the time.

This is a combination of things that almost breaks my brain, but it works, and it's brilliant! First, you need to understand coded masks[1,2]. This is a way to use an LCD or other array to mask off parts of a scene so that very specific parts of it are sampled, but the rest aren't, to get a single, high resolution analog value. Then you switch to other masks, and get more values. You can then work backwards in the math through the known mask shapes, to get the original image with far fewer samples that would be required one at a time. Think of the above as a 2d visual version of the Fourier transform[3,4]. This transform is used heavily to compress images throwing away most of the bits in an image without losing it's essence. The analysis they're talking about uses a very specially printed card. It isn't just something generated with a standard 4 ink printer, each "dot" is a separate unique ink with tightly controlled spectral curves, these form a virtual version of the above masks. When you view these through a sample, it can then give an idea of the spectral response of the camera, and the liquid, by using the many different known response curves of the "dots" to work backwards, and generate the 1 dimensional very tight response curve of a hyperspectral imager, by figuring out where each "dot" is in the scene, then averaging that dot's intensity across the RGB values of the picture taken by the camera. Today's cameras have sufficient resolution and bit depth that you get th