A Deepfake Putin and the Future of AI Take Center Stage at Emtech

Singer talked about how AI now has four big "superpowers." Pattern recognition is the most common, and this is used in many domains, including image recognition, speech recognition, and fraud detection. It can be a universal approximator, as it learns the correlation between input and output, and is able to make predictions about results, which allows it to be used for simulations for things like particle movements at CERN or flight routes, using much less power and much less time than conventional simulations even if it's not quite as accurate. It is good at sequence mapping, used in things like cleaning DNA sequences or language translation. And it works for similarity-based generation--creating the next examples of something, such as creating voices, photos, or video.