MIT's faulty Face Recognition algorithms, sold to Israel, murdering innocent civilians in Gaza

Courts and Legal Documents
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  • MIT’s bogus Face Recognition faulty system which tags children as enemy combatants!

  • See the reference to excessive targeting and killing of the children, and surprise statements about even at Israeli standards the Gaza child killings were excessive:

Human Rights Council
https://wiki.compclassnotes.com/link/178#bkmrk-1.-continued-killing

  • The individual cited as Daniela Rus:

Panasonic Professor of Computer Science Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT

https://www.csail.mit.edu/person/daniela-rus

has written paper on this subject matter with 0 error analysis:

https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10436161

and this paper has been published at IEEE supposedly a peer-reviewed publication, most prestigious engineering journal in the world!

  • MIT and Daniela Rus are profiting from bogus drone technologies sold to Israel and directly responsible as criminals for killing Palestinian children in Gaza, which according to the mentioned report by the Human Rights Commission’s references large multitudes of children killed as combatants, since knowingly they sold faulty Face Recognition systems to already a criminal state.

Jan 15, 2025

“You can’t just sit there and build drones and not talk about who it’s serving and who does it help,” says Richard Solomon, PhD student at the Massachusetts Institute of Technology and member of the Coalition for Palestine at MIT. On this episode of The Chris Hedges Report, Solomon and fellow MIT PhD student Prahlad Iyengar detail their battle against the historic institution’s active participation in the genocide in Gaza. Their story exemplifies the repression students face across the country who dare question how their work and labor are used to advance the illegal and morally reprehensible goals of the Israeli military.

TODO: Paper mentioned in the interview?

Implementation and system details: We outline key details
of our system: Run-time improvement. We enhance segmentation/detection performance by compressing SAM and DINO
through quantization and tracing and using FastSAM.

Cannot see any error analysis on this mostly jargon and name dropping IEEE paper!

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@tarek.abosaeid Pay attention to what the PhD student discussed on the faulty systems for Israeli drone detection… as I told you before we are being fooled!

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great
thank you

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@tarek.abosaeid This research and investigation will not end here, there are boatloads more and then some!