Dynamically Typed

#74: Apple's privacy-focused facial recognition, DeepMind's multimodal Perceiver IO, and sea ice forecasting with IceNet

Hey everyone, welcome to Dynamically Typed #74! Today’s productized AI section includes some updates on the ClipDrop app and a detailed Apple blog post about privacy-preserving facial recognition in the Photos app. I also covered DeepMind’s new general Perceiver IO architecture for ML research, and IceNet for climate AI. And finally, for cool stuff I found Omnimatte, which we’ll probably see integrated into most video editing software a few years from now. Happy reading!

(This issue is a bit later than usual because preseason just started at rowing and the first few practices have been exhausting (but very fun). Anyway, I’ve finally figured out how to upload GIFs in DT so I hope those make up for the tardiness.)

Productized Artificial Intelligence 🔌

ClipDrop demo. (ClipDrop)

ClipDrop demo. (ClipDrop)

More productized AI: stories (22), links (73)

Machine Learning Research 🎛

More ML research: stories (14), links (82)

Artificial Intelligence for the Climate Crisis 🌍

More climate AI: stories (6), links (33)

Cool Things ✨

Omnimatte masks both objects (the car) and their effects (the dust), enabling adding the ML DRIFT logo “behind” the dust. (Lu et al. 2021)

Omnimatte masks both objects (the car) and their effects (the dust), enabling adding the ML DRIFT logo “behind” the dust. (Lu et al. 2021)

More cool things: stories (5), links (26)

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