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Fetal SMPL was trained on 20,000 MRI volumes to predict the location and size of a fetus and create sculpture-like 3D representations. The approach could enable doctors to precisely measure things like the size of a baby’s head and compare these metrics with healthy fetuses at the same age (Credits: Alex Shipps and Yingcheng Liu/MIT CSAIL).

Machine-learning tool gives doctors a more detailed 3D picture of fetal health

“Our system can turn a seemingly static, abstract image into an attention-catching animation,” says MIT PhD student Ticha Sethapakdi, a lead researcher on the FabObscura project. “The tool lowers the barrier to entry to creating these barrier-grid animations, while helping users express a variety of designs that would’ve been very time-consuming to explore by hand” (Credits: Courtesy of the researchers).

MIT software tool turns everyday objects into animated, eye-catching displays

A new software and hardware toolkit called SustainaPrint can help users strategically combine strong and weak filaments to achieve the best of both worlds. Instead of printing an entire object with high-performance plastic, the system analyzes a model, predicts where the object is most likely to experience stress, and reinforces those zones with stronger material (Credits: Alex Shipps/MIT CSAIL, using assets from Pixabay and the researchers).

A greener way to 3D print stronger stuff

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Machine-learning tool gives doctors a more detailed 3D picture of fetal health

MIT software tool turns everyday objects into animated, eye-catching displays

A greener way to 3D print stronger stuff