Day 5: Machine Learning Lesson, Jack Rabbot, and AI and government policy

Day 5 began with a lecture on machine learning, in which students learned about supervised, unsupervised, and semi-supervised AI systems as well as regression and classification.

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Students then went to a demonstration of a robot designed by numerous Stanford PhD students and professors. The robot, affectionately named Jack Rabbot, is capable of using various sensors to navigate crowded areas whilst maintaining a human-like sense of social etiquette. More information can be found at http://cvgl.stanford.edu/projects/jackrabbot.

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Later in the day, Stanford professor Noah D. Goodman presented a summary of the intersection of psychology and artificial intelligence. In particular, he focused on the use of probabilistic programs in uncertain situations to model human decision-making.

Students worked in their research groups, many beginning to code algorithms. The day proceeded with a talk by David Wallerstein, the Chief Exploration Officer of Chinese internet conglomerate Tencent. He inspired students with his vision of AI as capable of solving the world’s greatest problems.   

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Back at the house, Terah Lyons described her career in AI policymaking under the Obama administration. Her dedication to public service and STEM representation in government were incredibly empowering.

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Photo by Fiona Hall-Zazueta.

20170629_195344.jpg Photo by Fiona Hall-Zazueta.

Blog post by Amelie Buc and Meili Gupta. Pictures by Lauren Yang and Fiona Hall-Zazueta.

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