RT @AaronPlasek: @farsidevirtual @luke_stark @jonniepenn @SarahWNewman @shannonmattern @mkirschenbaum @fstflofscholars How did it become th…
RT @AaronPlasek: @cwellmon @AlexCampolo @nescioquid You may find this paper interesting, where I try to map out some epistemic ideals tied…
RT @ArtificialOther: Mechanized Significance and Machine Learning: Why It Became Thinkable and Preferable to Teach Machines to Judge the Wo…
RT @ArtificialOther: Mechanized Significance and Machine Learning: Why It Became Thinkable and Preferable to Teach Machines to Judge the Wo…
Mechanized Significance and Machine Learning: Why It Became Thinkable and Preferable to Teach Machines to Judge the World - Aaron Mendon-Plasek https://t.co/xBtjK4RM2j
RT @mccastelle: The volume includes an open-access chapter (https://t.co/QHccD1oGBU) by @AaronPlasek which I hope will be a newly definitiv…
RT @mccastelle: The volume includes an open-access chapter (https://t.co/QHccD1oGBU) by @AaronPlasek which I hope will be a newly definitiv…
RT @mccastelle: The volume includes an open-access chapter (https://t.co/QHccD1oGBU) by @AaronPlasek which I hope will be a newly definitiv…
The volume includes an open-access chapter (https://t.co/QHccD1oGBU) by @AaronPlasek which I hope will be a newly definitive historical view of pattern recognition in the mid-20th century, as well as a truly killer GAN-based cover by Mario Klingemann (@qua