Mapping the brain pathways of visual memorability
For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.
Image recognition accuracy: An unseen challenge confounding today’s AI
“Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.
Synthetic imagery sets new bar in AI training efficiency
MIT CSAIL researchers innovate with synthetic imagery to train AI, paving the way for more efficient and bias-reduced machine learning.
Computer program fixes old code faster than expert engineers
What takes coders months, CSAIL’s “Helium” can do in an hour.
Writing graphics software gets much easier
A new programming language for image-processing algorithms yields code that’s much shorter and clearer — but also faster.
Researchers amplify variations in video, making the invisible visible
New software amplifies changes in successive frames of video that are too subtle for the naked eye.