This 3D printer can watch itself fabricate objects
Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn’t use before.
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MIT scholars awarded seed grants to probe the social implications of generative AI
The 27 finalists — representing every school at MIT — will explore the technology’s impact on democracy, education, sustainability, communications, and much more.
New method simplifies the construction process for complex materials
With a new, user-friendly interface, researchers can quickly design many cellular metamaterial structures that have unique mechanical properties.
Learning the language of molecules to predict their properties
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.
The chore of packing just got faster and easier
A new computational method facilitates the dense placement of objects inside a rigid container.
MIT-Pillar AI Collective announces first seed grant recipients
Six teams conducting research in AI, data science, and machine learning receive funding for projects that have potential commercial applications.
Computational system streamlines the design of fluidic devices
This computational tool can generate an optimal design for a complex fluidic device such as a combustion engine or a hydraulic pump.
An automated way to assemble thousands of objects
A new algorithm for automatic assembly of products is accurate, efficient, and generalizable to a wide range of complex real-world assemblies.
Using artificial intelligence to control digital manufacturing
Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.
A helping hand for robotic manipulator design
With modular components and an easy-to-use 3D interface, this interactive design pipeline enables anyone to create their own customized robotic hand.
Soft assistive robotic wearables get a boost from rapid design tool
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.
A one-up on motion capture
A new neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.
Generating new molecules with graph grammar
An efficient machine-learning method uses chemical knowledge to create a learnable grammar with production rules to build synthesizable monomers and polymers.
School of Engineering welcomes new faculty
Seventeen new professors join the MIT community, with research areas ranging from robotics and machine learning to health care and agriculture.
A system for designing and training intelligent soft robots
“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.