this post was submitted on 09 Jan 2026
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I know there's a significant anti-AI presence here. I'm not promoting it. I found it interesting to read how it was used, it's strengths and limitations.

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[–] pageflight@lemmy.world 26 points 1 day ago* (last edited 1 day ago) (12 children)

The AI picked through the pictures taken by the drone pilots pixel by pixel, looking for anything that might look out of place on the mountainside. The software identified dozens of potential anomalies from a large number of photographs in a matter of hours.

The selection, however, still needed to be whittled down with some human expertise.

"The software could react to different things, like a piece of plastic garbage or an unusually coloured rock," says Isola. "It can even hallucinate some things. So, we still had to narrow it down further by taking into consideration the path that Ivaldo, as a very skillful climber, might have used."

Interesting process. "AI" as a term gets so overused, but in this instance I think they're really talking about image neural net processing.

This other one mentioned sounds like just image processing:

Other software that searches for unusually coloured pixels in natural landscapes – developed by the Lake District Search and Mountain Rescue Association in the UK – has been used to locate the body of a missing hillwalker in Glen Etive in the Scottish Highlands in 2023.

Or is it ML, not AI?

The key is to keep training the machine learning systems that power these algorithms to improve their accuracy in different types of terrain and conditions, says Tomasz Niedzielski, an expert in geoinformatics at the University of Wrocław and leader of the team that developed the SARUAV software.

Overall interesting process but could be a lot more specific about the technology.

[–] jj4211@lemmy.world 14 points 1 day ago (11 children)

ML is also AI. Obviously would be one of those instead of the LLM stuff, and generally the LLM stuff is the more controversial.

[–] non_burglar@lemmy.world 2 points 1 day ago* (last edited 1 day ago) (2 children)

Not really. We have had access to ml for a while and google used ml to blur license plates in streetview for a long time now. It's just pattern recognition with reinforcement.

Neural learning has been around since 2004-ish.

[–] jj4211@lemmy.world 7 points 1 day ago

Yes. And I took an "AI" class as part of computer science curriculum back around 2000, including implementing "AI" stuff in lisp. We've been talking about AI for decades and ML for machine vision was always under that umbrella from the time out started becoming viable.

LLM is the recent popular subset of AI, not all of AI.

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