How Did the Computer Learn to See?
MIT Building 3, Room 133 33 Massachusetts Ave, Cambridge, MADid computers learn to see by modernity's most highly evolved technologies of vision, or, as Alexander Galloway argues, from sculpture?
Did computers learn to see by modernity's most highly evolved technologies of vision, or, as Alexander Galloway argues, from sculpture?
International best-selling author and science historian James Gleick discusses his career, the state of science journalism, and his newest book Time Travel: A History, which delves into the evolution of time travel in literature and science and the thin line between pulp fiction and modern physics.
How are “tweens” represented in popular culture, including music, television, and YA literature? And how does this relatively new age category intersect with--or elide--issues pertaining to race, class, and gender identity?
Jennifer Stromer-Galley describes the large-scale collection and machine learning techniques used to study how presidential candidates use social media.
John Hodgman brings his razor-sharp wit to MIT for a moderated discussion on his career and the state of comedy today.
A great way to get to know the program, its people, and its research. This year’s is on November 17 from 10am to 12pm and will be streamed online on our Youtube channel: https://www.youtube.com/channel/UCmO0SU2gV3ZTl-EeKLcyAlQ
Join us for this year's alumni panel, when we hear from four alums of the graduate program in Comparative Media Studies as they discuss their experience at MIT and what their careers have looked like in the fields a CMS degree prepared them for.
André Brock, scholar of Black cyberculture, offers that Twitter's feature set and ubiquity map closely onto Black discursive identity.
Operating under the oppressive structures of masculinity, heterosexuality, and Whiteness that are sustained in digital spaces, marginalized women persevere and resist such hegemonic realities.
Exploring playfulness and its business applications. Three workshops on January 12, 19, and 26.
Cultivate a greater understanding of how to evaluate a range of sources, from the popular news media, to institutional archives, to peer reviewed journals.
Co-sponsored by MIT Libraries and CMS/W.
"Come together, be creative, share experiences and express ourselves in a multitude of ways using video games."
Learn how to draw the hand and why you couldn’t do it before.
MIT's Nathan Matias asks, how will the role of data science in democracy be transformed as software expands the public's ability to conduct our own experiments at scale?