AI and machine learning for engineering design
Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
The AI-enabled platform serves as a hub for MIT’s lifelong learning opportunities.
Read MoreIn MIT’s course 17.831 (Data and Politics), students are introduced to the power of analysis, visualization, and research-supported insight into political outcomes.
Read MoreComposed of “computing bilinguals,” the Undergraduate Advisory Group provides vital input to help advance the mission of the MIT Schwarzman College of Computing.
Read MoreThrough collaborations with organizations like BREIT in Peru, the MIT Institute for Data, Systems, and Society is upskilling hundreds of learners around the world in data science and machine learning.
Read MoreAna Trišović, who studies the democratization of AI, reflects on a career path that she began as a student downloading free MIT resources in Serbia.
Read MoreIn a new MIT course co-taught by EECS and philosophy professors, students tackle moral dilemmas of the digital age.
Read MoreProjects from MIT course 4.043/4.044 (Interaction Intelligence) were presented at NeurIPS, showing how AI transforms creativity, education, and interaction in unexpected ways.
Read MoreJunior Katie Spivakovsky describes her path through New Engineering Education Transformation to biomedical research and beyond.
Read MoreDavid Singer, head of the MIT Department of Political Science, discusses the Strengthening Democracy Initiative, focused on the rigorous study of elections, public opinion, and political participation.
Read More
You must be logged in to post a comment.