As shown on the duvet page of the June 2017 issue of Newsweek, Silicon Valley thinks AI (AI) will cure our sick health care system. Really? As a CIO and MD scientist, I see hypes also as hopes. AI is becoming the new frontier in healthcare. And here’s why.
It is not the AI within the 1980s.
When I read my first AI textbook within the 1980s, I used to be amazed by the tremendous possibilities. As an example, by knowing the very fact that “Toby may be a dog” and “dogs have four legs”, the pc goes to infer that Toby has four legs. However, it's very hard to engineer all human knowledge into simple facts and rules. The theoretical great thing about first-order logic from the Prolog programing language couldn't solve the complexities within the world.
The AI in 2017, however, is far different. the main target has shifted from knowledge engineering to machine learning. Deep learning now plays a critical role to sift through an unprecedented amount of knowledge. As an example, self-driving cars are making decisions from one gigabyte of knowledge per second generated by dozens of sensors. This data-driven approach lifts the human burden on crafting choice rules for computers. From a machine learning perspective, the statistical worry of model overfitting is additionally alleviated by the exceedingly great deal of coaching data.