Youβre reading an excerpt of Making Things Think: How AI and Deep Learning Power the Products We Use, by Giuliano Giacaglia. Purchase the book to support the author and the ad-free Holloway reading experience. You get instant digital access, plus future updates.
The most important piece is the theory of Learning to Learn, which describes how the brain learns the technique to learn new topics. The human brain learns and encodes information during sleep or at least in restful awake momentsβconverting short-term memory to long-termβthrough hippocampal, visual cortex, and amygdala replay. The brain also uses the same circuitry that decodes the information stored in the hippocampus, visual cortex, and amygdala to predict the future. Again, much like the human brain, AI systems decode previous information to create future scenes, like what may happen next in a video.