The Machine & Me: Learning How to Learn | Callie Collins | TEDxJeffersonU скачать в хорошем качестве

The Machine & Me: Learning How to Learn | Callie Collins | TEDxJeffersonU

Join architectural designer Callie Collins as she delves into the captivating realm of Generative Adversarial Networks (GANs), unraveling the mysteries of artificial intelligence and sharing a story where the frustrations of both machine and creator become intertwined. It's not just about algorithms; this talk invites us to explore the fascinating intersection of machine learning and our shared human experience. Callie is an architectural designer with a passion for art and problem solving. Through her academic career at Thomas Jefferson University, she developed additional passion for global service and technology. Callie integrates both herself and her passions into her work. In a recent project, Callie explored the use of machine learning as a tool to aid designers in the production process. Over the course of one hundred days, she not only learned about but experimented with Generative Adversarial Networks. The machine and she produced infinite images of imaginary cities composed from personal photography around the world. Callie’s research in how machines learn led her to learn how she learns. Her talk divulges how her experience during the project and her continuous comparison to the machine provided her with unfaltering self-confidence and self-acceptance. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx