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by JoeAltmaier12 hours ago |
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upvoteby flipping_beacon12 hours ago|
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It's crazy that we talk about LLMs, AI/ML and what not but so many fields still don't use computation as much as we think they do simply because they cannot reliably keep up with the advancements happening almost everyday and people simply forgetting about backwards compatibility in their products
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upvoteby baruz10 hours ago|
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A researcher submitted a paper to the medical journal _Diabetes care_ in the nineties that basically redescribed integral calculus as a novel finding. How’s that for a silo?
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upvoteby mmulqueen9 hours ago|
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For anyone else who is curious:

https://en.wikipedia.org/wiki/Tai%27s_model

https://pubmed.ncbi.nlm.nih.gov/8137688/

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upvoteby jablongo8 hours ago|
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This is really funny. A less extreme example is how much domain-specific terminology in Reinforcement Learning and Control Theory/Model Predictive Control refer to the same underlying phenomena, but we must translate between the two. I understand there are many unique concepts as well, but it would be so helpful if the overlap here used the same terminology and notation.
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upvoteby Animats8 hours ago|
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I still get IEEE Trans. on Control Theory, and it's all machine learning now. Except that the controls people are desperately trying to solidify the underpinnings of machine learning, so that control systems don't suddenly misbehave for some sets of inputs. Controls people want a guarantee that if it does something reasonable for inputs of 5.1 and 5.2, it doesn't do something completely unexpected for an input of 5.15.
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upvoteby donquichotte7 hours ago|
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Reminds me of my favorite abstract, from John Doyle's paper "Guaranteed Margins for LQG Regulators".

https://improbable.com/wp-content/uploads/2011/10/ThereAreNo...

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upvoteby sixtyj10 hours ago|
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Is your son’s search engine somewhere available, please?
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upvoteby JoeAltmaier7 hours ago|
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It was something like 'Rugobi'. I'll ask him if there's a demo still up.
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upvoteby JoeAltmaier5 hours ago|
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HIs pubmed subscription expired.
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upvoteby api9 hours ago|
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I always say knowledge is like a sweater. Pull a thread and the whole thing unravels. Everything is connected so if you start somewhere and never stop learning you'll end up in every discipline. There's also a good old Weezer song called Undone for this.
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upvoteby IAmBroom8 hours ago|
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My minor required me to take Electricity & Magnetism from the physics department the same semester I had to take Fields & Waves from the electrical engineering department.

Yes, they were identical.

My crib note that I took into the later final exam was simply a conversion between terms in the two departments. Nothing else; I'd already crammed and aced the first exam.

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upvoteby analog3151 minutes ago|
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Oddly enough, I got a physics degree, and then happened to teach the engineering course for one semester many years ago while in between jobs. I'm sure this varies from one college to the next. My impressions at the time were:

The physics version was much more mathematical, and did things like solving everything in spherical coordinates. It also kind of served as a preparation for solving corresponding problems in quantum mechanics.

The engineering version was more nuts-and-bolts, covering things like transformers, motors, and transmission lines. (Antennas were for a later course).

As a consequence, teaching the engineering course required me to quickly learn a whole bunch of stuff that we glossed over or ignored in the physics course. While also teaching it. Fortunately I was an experimental physicist and had also done some work in industry, so the topics weren't utterly unfamiliar.

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upvoteby 9 hours ago|
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deleted
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