Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn’t use before.

Researchers use synthetic data to improve a model’s ability to grasp conceptual information, which could enhance automatic captioning and question-answering systems.

“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference requests.

MIT researchers develop a protocol to extend the life of quantum coherence.

With a new, user-friendly interface, researchers can quickly design many cellular metamaterial structures that have unique mechanical properties.

“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.

BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.

Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.

Researchers create new simulation tool for robots to manipulate complex fluids in a step toward helping robots more effortlessly assist with daily tasks.

Codon compiles Python code to run more efficiently and effectively while allowing for customization and adaptation to various domains.