Fast charging, fast talking, say nothing
Implementing jargon to efficiently optimize a wide array of nothing.
The CEO of fast charging battery company StoreDot, posted this doozy
StoreDot is a well-known company in the battery-tech space. I’d normally just gloss over something like this, but innovation in batteries is a really (like, really) important industry, so I wanted to try get my head around what this was trying to say. I feel like there’s a lot going on here, so let’s defuse this jargon bomb step by step before anyone gets hurt.
AI and machine learning methodology [[as opposed to AI and machine learning algorithms? Software? I’m no expert, but then again, neither are most people on LinkedIn]] can be implemented to efficiently optimize [[you wouldn’t want inefficient optimization, amirite?]] the simultaneous evaluation of a wide array of variables.
I think it means: AI software can optimize the evaluation of lots of data and so get to faster decisions?
Thankfully, there’s more information:
“By applying [[didn’t we just implement it in the sentence above? why are we applying it now? do you first have to implement it before you can apply it?]] AI and machine learning [[what happened to the methodologies? are these new AI’s? help]] StoreDot researchers can [[can? why can? have the researchers already done it, or is it something they can only do once they apply the AI, which they haven’t done yet?]] speed up the complex and time consuming development process by orders of magnitude [[since we are talking about exact sciences here —AI, machine learning, electrical engineering, physics, battery chemistry— could we be more exact about the exact order of magnitude? Like, is it 2X, 3X, 10X, MoreX than??]]
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The Kicker
What did you say JMIR? This tweet is a Dempster fire.
