MIT launches Day of Design to bring hands-on learning to classrooms
Building on Day of AI and Day of Climate, MIT shares free design resources to spark creativity and problem-solving in classrooms.
Building on Day of AI and Day of Climate, MIT shares free design resources to spark creativity and problem-solving in classrooms.
The FabObscura system helps users design and print barrier-grid animations without electronics, and can help produce dynamic household, workplace, and artistic objects.
Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
MIT CSAIL researchers developed SustainaPrint, a system that reinforces only the weakest zones of eco-friendly 3D prints, achieving strong results with less plastic.
A new book, “Value of Design,” serves as a tribute to the late MIT research scientist Andrea Chegut, whose work linked the economics of innovation to real estate finance and development.
Four new professors join the Department of Architecture and MIT Media Lab.
The faculty members’ work comprises multifaceted research and scholarship across a wide range of disciplines.
Through a collaboration between the MIT first-year learning community Terrascope, Diné College, and University of Puerto Rico, students learn fundamental design principles — and much more.
Aurelia Institute, founded by a team from MIT, serves as a research lab, an education and outreach center, and a policy hub for the space industry.
An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data.
Ongoing research by three architecture faculty aims to yield structures that protect communities from the devastation of volcanic eruptions.
From the classroom to expanding research opportunities, students at MIT Music Technology use design to push the frontier of digital instruments and software for human expression and empowerment.
A project at the Venice Biennale showcases biodegradable materials and structural systems using tension and compression.
MIT CSAIL researchers combined GenAI and a physics simulation engine to refine robot designs. The result: a machine that out-jumped a robot designed by humans.