For the past three summers, around two dozen would-be computer scientists have come to Stanford University to learn about artificial intelligence from some of the field's brightest. The attendees, culled from hundreds of applicants, take day trips to nearby tech companies, interact with social robots and hexacopters, and learn about computational linguistics (what machines do when words have multiple meanings, say) and the importance of time management (very). All the students here at the Stanford Artificial Intelligence Laboratory's Outreach Summer (SAILORS) program are girls who have just completed ninth grade, and their studies focus on finding ways to improve lives, not enhance their game play: How do we use AI to keep jumbo jets from careening into one another? "Our goal was to rethink AI education in a way that encourages diversity and students from all walks of life," says Fei-Fei Li, director of Stanford's AI lab and a founder of the SAILORS program.
The Filipino Department of Education started offering the Japanese language and culture program to high school students in 2009, together with Spanish and French, to prepare young Filipinos for both local and international opportunities that would require communicative competence in a second foreign language, after English. When the education department decided to introduce the Japanese program, it partnered with Japan Foundation Manila to train Filipino teachers, a task that proved challenging. Franza and Chee of Makati Science High School won third place, representing their school as a pair, during a Japanese quiz bee earlier this year. Agreeing that the program helps foster better relations between the Philippines and Japan, Education Secretary Briones said, "Young people connect to young people, everywhere.
To help take human error out of diagnosing breast cancer, a Chicago high school student wants to use artificial intelligence software to help doctors make more informed treatment decisions and give patients a more accurate diagnosis. The startup uses machine learning and big data to create a faster and more accurate ways of diagnosing cancerous tumors, says Qader, with the goal of saving lives and preventing unnecessary spending on treatment. And Qader added that while some companies are building entirely new machines to provide this same type of artificial intelligence, GliaLab works with the devices doctors already use, which helps keep the price down for patients. In the future, the startup plans to partner with companies that make imaging machines so GliaLab can embed its software in their devices, and it plans to expand its AI beyond just breast cancer diagnoses.