Robert Ussher

speaker
856 appearances 4 recordings 1 series first heard Jan 2026 last heard 12 Aug

Robert Ussher’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 4 in all, peaking in Aug 2026 with 1.

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So like the whole kind of thing about modeling a data hall or whatever the case for it is, if you've only got a handful of sensors or you've only got a handful of controllers,
then basically you're talking about using some sort of fuzzy logic.
When you get up to the situation where you're using your machine learning algorithms to talk to thousands of sensors and hundreds of controllers, that's the bit, as I said, that I'm kind of trying to probe to see how long it takes.
But you were saying that you can actually learn it approximately 24 or 36 hours into it.
You're ready to take control and look after it from there.
Yeah, so if this happens, then we don't see this kind of a change on it.
As you say, you're trying to figure out what it is.
Just because somebody hears a compressor running or a chiller running or whatever, it doesn't mean that it's actually cooling anything.
Yeah, which is what I always call the kind of tuning loop that we talk about in BMS.
Yeah.
So in some ways you can actually.
soften the blow of, let's say, a poorly designed or poorly implemented cooling system by basically knowing when to switch to max cool or when to switch to the highest cooling efficiency.
Yeah, and how do you feel?
One of the great debates that's going on at the moment now, we had this great push.
It kind of reminds me of when they had the first locomotive train, you know, when John Stevenson, I think it was, had made the first train and somebody who was standing there watching it on the first track said, it'll never start.
It'll never start.
And when it started, they said, it'll never stop.
It'll never stop.
Is this something similar?
I've had this great debate with people about whether or not liquid cooling is better as a
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