Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn’t use before.
The 27 finalists — representing every school at MIT — will explore the technology’s impact on democracy, education, sustainability, communications, and much more.
With a new, user-friendly interface, researchers can quickly design many cellular metamaterial structures that have unique mechanical properties.
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.
Six teams conducting research in AI, data science, and machine learning receive funding for projects that have potential commercial applications.
This computational tool can generate an optimal design for a complex fluidic device such as a combustion engine or a hydraulic pump.
Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.
Scientists have created a design and fabrication tool for soft pneumatic actuators for integrated sensing, which can power personalized health care, smart homes, and gaming.
“Evolution Gym” is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes.