Researchers have created a new 3D model of human embryonic tissue that promises to shed light on critical components of development -- including processes that go awry during pregnancy complications.

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Three original images from an artificial colon, taken using an endoscope. The 3D model can be used to adjust the lighting in an original image so that darker areas become better illuminated, as shown ...

GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1 ...

Analytical simulation and modeling of unit manufacturing processes based on knowledge of the underlying process physics and validated by experimental results is becoming a powerful tool to advance the ...