How To Keep Your Job Regardless Of AI

Nvidia deep learning consultant Michelle Gill never imagined herself working in California's robot-crazed tech industry. When she left Nebraska and got a PhD in biochemistry and biophysics at Yale University, she saw herself as more of a scientist who studied life than a technologist prepared to build new creations. It wasn't until she started working at the National Cancer Institute that she first became interested in machine learning. Analyzing medical images with data science opened the door to a whole new world. "A lot of the concepts I had learned in science applied in some way to machine learning," Gill told Newsweek at the Artificial Intelligence & Data Science conference in New York City.