--- Log opened Sun Mar 20 00:00:31 2022
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08:00 < lsneff> Once again, I am annoyed at a company for selling a product for way more than it takes to manufacture it.
08:03 < L29Ah> why don't you enter the market and offer it at a lower price?
08:04 < lsneff> Emailed ICSPI to ask for a quote on their nGauge AFM and they literally told me it’s out of my price range without me even giving a budget
08:04 < lsneff> I’m seriously considering going back and finishing the AFM I was building
08:05 < lsneff> I want to get into photolithography but I need a way of looking at the etched surface
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08:12 < darsie> lsneff: printer ink cartridges?
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08:13 < lsneff> Nope, atomic force microscope
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08:26 < lsneff> So, the chip with the cantilever tip (made with MEMS) is $500, but the instrument overall is $20k-30k
08:26 < lsneff> Make it make sense
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08:39 < lsneff> On most AFMs, that price structure makes sense, but on this, the XYZ microactuators are built into the tip, so most of complexity lies there
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10:15 < kanzure> https://windows-internals.com/an-exercise-in-dynamic-analysis/
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12:42 < kanzure> https://github.com/phyro/minicash
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20:31 < fenn> lsneff: so buy a tip, make an actuator control board, sell it for << $20k
20:32 < lsneff> They won’t sell me the tips
20:32 < fenn> who DO they sell to?
20:38 < lsneff> Academic labs I guess
20:38 < lsneff> They won’t sell the tips individually
21:14 < fenn> .title https://arxiv.org/abs/2108.00275
21:14 < saxo> [2108.00275] Demonstration of Decentralized, Physics-Driven Learning
21:14 < fenn> "When exposed to training data, a network of self-adjusting variable resistors trains itself autonomously, simultaneously updating every edge of the network to perform a variety of tasks, including regression and classification. Because learning is distributed, increasing the size of this system does not slow it down; increasing the number of edges and clock speed of this system by a factor of 10
21:14 < fenn> each will already outpace a comparable simulation. We estimate both can be increased by a factor of 106 with modern electronic manufacturing, making it a potentially useful system for machine learning applications."
21:26 < fenn> now incorporate a nonlinear element to give it some pizzazz, and assemble a billion of them in a roughly hierarchical arrangement out of semiconductor-carrying DNA origami tiles
22:12 < fenn> i'd like to see how it scales, even if only in simulation, but i guess they're not the "programmer" type of physics grad students
--- Log closed Mon Mar 21 00:00:32 2022