AI’s Potential for Antiaging
Dr. Zhavoronkov says there have been several major papers published on the possibilities with AI, including one paper published in Nature in May 2015 that describes a technique called deep learning. According to the authors of that study: “Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech.”
According to Dr. Zhavoronkov, “Deep learning is a technique where you have multiple layers of neurons represented by algorithms that assume certain properties in response to data. Those multi-layer neural networks are commonly used to predict something or classify data or, even, generate new objects. So, you can actually make deep neural networks imagine things — they function in a very similar manner to the human brain,” Dr. Zhavoronkov says.
Deep learning, for example, accurately predicts age. Predicting age leads to AI’s powerful potential impact on the aging process, including antiaging and cosmetic medicine, he says.