“Since time immemorial, humans have traded stories about ghosts and wraiths — haunting presences that are strongly felt but never seen. Mountaineers often report feeling an unseen presence keeping in step beside them…Blanke was seeing the same phenomenon at work in his patient, but with one critical difference: he could turn it on and off.”
In a nifty experiment involving movement-mimicking robots and a brief time delay, scientists uncover a potential neurological basis for sensing ghostly phenomena. “The mismatched sensory and motor information confused their brains…If those…didn’t match up, my brain would revise its perception of reality to account for the discrepancies. Maybe I’m not inside my body at all, it might think. Maybe I’m over there.”
“The new algorithm condenses each face it ‘sees’ into a small image to position the eyes, nose, and corners of the mouth in consistent locations. Then, it further divides the image into small, overlapping squares and mathematically charts each square’s unique characteristics, allowing it to compare two images…The GaussianFace algorithm emerged from the test a champion, beating humans’ 97.35 percent average performance.”
Per Discover, computers can now identify faces better than humans can. “The algorithm could someday be used in myriad applications including security, image retrieval, and biometric credentials for our computers and mobile devices.” Among other things.