Redefining design through textiles
MIT Morningside Academy for Design Fellow Ganit Goldstein SM ’23 combines traditional craftsmanship and technology to transform the way clothes are produced and worn.
MIT Morningside Academy for Design Fellow Ganit Goldstein SM ’23 combines traditional craftsmanship and technology to transform the way clothes are produced and worn.
Global participation in MIT RAISE’s free K-12 program more than doubles in its second year.
MIT students share ideas, aspirations, and vision for how advances in computing stand to transform society in a competition hosted by the Social and Ethical Responsibilities of Computing.
MIT postdoc Ziv Epstein SM ’19, PhD ’23 discusses issues arising from the use of generative AI to make art and other media.
NOMIS Foundation honors the Ford Professor of Economics for his contributions to understanding the effects of technological change and globalization on jobs and earnings prospects for workers.
New online journal seeks to bring together the MIT community to discuss the social responsibilities of individuals who design, implement, and evaluate technologies.
The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.
Durant, who led the reimagining of MIT’s museum in Kendall Square, will leave his post after 18 years of service.
Media Lab PhD students Manuj Dhariwal and Shruti Dhariwal introduce a new paradigm of creative collaboration in digital learning environments.
A new study finds human supervisors have the potential to reduce barriers to deploying autonomous vehicles.
“Ways of Seeing” project documents endangered Afghan heritage sites through digital imaging, virtual reality, and hand-drawn professional renderings.
In their new book, “Power and Progress,” Daron Acemoglu and Simon Johnson ask whether the benefits of AI will be shared widely or feed inequality.
Leo Anthony Celi invites industry to broaden its focus in gathering and analyzing clinical data for every population.
Over 300 social impact leaders from around the world convened on MIT’s campus to discuss global challenges and how to solve them together.
The CSAIL scientist describes natural language processing research through state-of-the-art machine-learning models and investigation of how language can enhance other types of artificial intelligence.