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submitted 8 months ago* (last edited 8 months ago) by catculation@lemmy.zip to c/technology@lemmy.world

TL;DR MIT researchers have developed an antitampering ID tag that is tiny, cheap, and secure. It is several times smaller and significantly cheaper than the traditional radio frequency tags that are used to verify product authenticity. The tags use glue containing microscopic metal particles. This glue forms unique patterns that can be detected using terahertz waves. The system uses AI to compare glue patterns and calculate their similarity. The tags could be used to authenticate items too small for traditional RFIDs.

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[-] tsonfeir@lemm.ee 80 points 8 months ago

Oh shit, it uses AI?!? Not just regular code? I’m in.

[-] grabyourmotherskeys@lemmy.world 61 points 8 months ago

Still waiting to hear how blockchain factors in

[-] tsonfeir@lemm.ee 27 points 8 months ago

The glue “patterns” are actually NFT apes

[-] CluckN@lemmy.world 12 points 8 months ago

It uses dynamically cloudified functionalized AI models using an Agile setup.

Just from this comment alone my net worth has already skyrocketed to $2 Trillion.

[-] isles@lemmy.world 5 points 8 months ago

Hey everyone this guy sounds smart, let's make him a CEO

[-] grabyourmotherskeys@lemmy.world 1 points 8 months ago

He lost me so I'm all in.

[-] felbane@lemmy.world 2 points 8 months ago

I'm more concerned with what Ja Rule thinks about this.

[-] AbidanYre@lemmy.world 12 points 8 months ago

AI doesn't seem necessary for comparing glue patterns

[-] tsonfeir@lemm.ee 13 points 8 months ago

Not only is it unnecessary, it’s not happening! ;)

[-] thejml@lemm.ee 2 points 8 months ago

Before LLM’s, people would call if/else blocks AI.

[-] QuadratureSurfer@lemmy.world 2 points 8 months ago

You'd have to read the article to know what they're getting at.

The use case provided was for businesses like a car wash that puts a sticker on a car windshield. The ML model would be able to detect if the customer attempted to transfer the sticker from one car to another.

A pretrained ML model to detect this is actually a very good use case.

However, I think the implimentation of this as an "anti-tampering detector" is a dangerous route to tread since there are other factors that need to be considered.

[-] 0x2d@lemmy.ml 2 points 8 months ago

No, it uses quantum-computed blockchain hashes in order to contact the OpenAI servers to retrieve a decentralized, encrypted language model

[-] kill_dash_nine@lemm.ee 1 points 8 months ago

I think my eyes just threw up from having to read that.

this post was submitted on 20 Feb 2024
164 points (94.6% liked)

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