This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

Working with concurrent electroencephalogram and functional magnetic resonance imaging technology at the Beckman Institute's Biomedical Imaging Center, postdoctoral researcher Suhnyoung Jun and her ...

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...