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I think EE folks should learn about sheaves. It would help make better sense of how electricity works. There is obviously topological elements they are ignoring
by haltist 3y ago
I think EE folks should learn about sheaves. It would help make better sense of how electricity works. There is obviously topological elements they are ignoring.
- nomel 3y agoI don't think anything is missing. RF folks just look at things for what they actually are, from traces to resistors: reactive components. These complexities are fully embraced during FEA. This is only an issue for people who are crossing into the realm where the "parasitics" they were taught to ignore have become proper components of their circuits.
- haltist 3y agoThere are no parasitics, it's a topological phenomenon. AGI will solve this problem though and I know how to do it for $80B. Tell your friends and maybe we can get VCs to finance AI for electrical engineering. Solving electrical engineering requires a lot of money. "Electromagnetic Theory and Computation" is a good reference on topological properties of electromagnetism but AGI would already have the relevant knowledge and agree with me. Homology and Cohomology would be standard training for all future AGI dealing with electricity.
- nomel 3y ago> There are no parasitics, it's a topological phenomenon. This is why my only use of the word was in quotes. I'm not disagreeing. RF people, where these effects are non-negligible/primary, embrace this topological reality completely, with their tooling. What you're saying isn't new, it is known. The only people calling it "parasitics" are coming from the simplified models, where these effects were negligible or mitigated by some rule-of-thumb to make them negligible. There has been work on what you're saying for many decades, as can be seen in the tooling. The AI aspect of it has been attempted through the decades, without success, yet. But, this is a very active area of research.
- haltist 3y agoWhich company in the a16z portfolio is working on this?