Computer Intelligence: Deep Learning
Is true artificial intelligence just around the corner? The journal Nature thinks so.
It’s called deep learning–essentially, teaching a machine to learn the way a three year-old does. That’s how a Google supercomputer discovered a recurring phenomenon on the internet–cats.
Deep learning involves neural networks that change in response to experience. That’s how a toddler learns–by seeing an event, responding, and seeing what happens again. The game “peekaboo” is an example. In effect, we are teaching supercomputers to play peek-a-boo. So they grow up to be R2D2.
Facial recognition is a major goal, apparently achieving leaps and bounds. To get there, the computer progresses through four layers: (1) telling light from dark pixels; (2) recognizing edges and circles; (3) more complex shapes such as an eye; (4) defining a face.
What is deep learning good for? Translating foreign languages, and testing drug candidates. Forensic identification, no doubt.
Now we’re giving our toddler computer “a stack of scanned textbooks” to “pass standardized elementary-school science tests (ramping up eventually to pre-university exams).” R2D2 goes to college.
BTW, we’ll hear more from R2D2 at Boskone this year. :)