Technology

59377 readers

5739 users here now

This is a most excellent place for technology news and articles.

Our Rules

Follow the lemmy.world rules.
Only tech related content.
Be excellent to each another!
Mod approved content bots can post up to 10 articles per day.
Threads asking for personal tech support may be deleted.
Politics threads may be removed.
No memes allowed as posts, OK to post as comments.
Only approved bots from the list below, to ask if your bot can be added please contact us.
Check for duplicates before posting, duplicates may be removed

Approved Bots

founded 1 year ago

MODERATORS

164

This tiny, tamper-proof ID tag can authenticate almost anything (news.mit.edu)

submitted 9 months ago* (last edited 9 months ago) by catculation@lemmy.zip to c/technology@lemmy.world

36 comments fedilink hide all child comments

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.

you are viewing a single comment's thread
view the rest of the comments

[–] AbidanYre@lemmy.world 12 points 9 months ago (3 children)

AI doesn't seem necessary for comparing glue patterns

[–] tsonfeir@lemm.ee 13 points 9 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.