A couple of weeks ago, I posted about some of the ethical dilemmas involved in using public data for research, using an example of facial recognition researchers who used YouTube videos of people undergoing hormone replacement therapy to improve their algorithms’ ability to recognize faces from pre- and post-transition. Since reading that article, I’ve seen the occasional …
This is a Caltech TEDx talk from 2013, in which Doris Tsao discusses her work on the neuroscience of human face recognition. Recently I blogged about her breakthrough in identifying the face recognition algorithm used by monkey (and presumably human) brains. The algorithm seems similar to those used in machine face recognition: individual neurons perform …
This is a beautiful result. IIUC, these neuroscientists use the terminology “face axis” instead of (machine learning terminology) variation along an eigenface vector or feature vector. Scientific American: …using a combination of brain imaging and single-neuron recording in macaques, biologist Doris Tsao and her colleagues at Caltech have finally cracked the neural code for …
The Chinese government is not the only entity that has access to millions of faces + identifying information. So do Google, Facebook, Instagram, and anyone who has scraped information from similar social networks (e.g., US security services, hackers, etc.). In light of such ML capabilities it seems clear that anti-ship ballistic missiles can easily target …