GIỚI THIỆU VỀ TẬP NÀY
We do a lot of learning on Tangents, so naturally, we've got questions about what learning looks like...for machines! AI and machine learning science communicator Jordan Harrod (https://www.youtube.com/@jordanharrod) lends her expertise to this episode as we definitely for sure learn all there is to know and will ever need to be known about machine learning, algorithms, and AI. Definitely we got all of it, everyone.
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[Truth or Fail Express]
Racoon-inspired algorithm
https://ieeexplore.ieee.org/abstract/document/8552661
Dolphin-inspired algorithm
Pelican-inspired algorithm
[Trivia Question]
Using machine learning to measure plant vibration and sounds when they experience stress
https://www.cell.com/cell/fulltext/S0092-8674(23)00262-3
https://www.smithsonianmag.com/smart-news/plants-make-noises-when-stressed-study-finds-180981920/
[Fact Off]
Lenna (an image of a Playboy model) used as the standard for digital image processing
https://www.404media.co/lena-test-image-ieee-policy/
Tricking speech recognition systems with “neural voice camouflage”
https://www.engineering.columbia.edu/news/block-smartphone-microphone-speech-recognition-spying
https://web.stanford.edu/~jurafsky/slp3/16.pdf
https://arxiv.org/pdf/2112.07076.pdf
https://gizmodo.com/these-academics-spent-the-last-year-testing-whether-you-1826961188
[Ask the Science Couch]
AI image generator mistakes (hands, feet, teeth) and how they work (diffusion models)
https://www.buzzfeednews.com/article/pranavdixit/ai-generated-art-hands-fingers-messed-up
https://hai.stanford.edu/news/what-dall-e-reveals-about-human-creativity
https://proceedings.mlr.press/v37/sohl-dickstein15.pdf
[Butt One More Thing]
Training machine learning models (convolutional neural networks) to classify poop images
https://arxiv.org/pdf/1903.10578.pdf
https://journals.lww.com/ajg/abstract/2022/07000/a_smartphone_application_using_artificial.24.aspx
https://pubmed.ncbi.nlm.nih.gov/33275399/
Anal Recognition Paper
https://www.nature.com/articles/s41551-020-0534-9
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