ResMem, a state-of-the-art machine learning model made by our Master’s student Coen D. Needell, has been featured in an article by UChicago News! ResMem is a model for predicting the intrinsic memorability of an image. Simply upload an image and the estimated memorability of your image will be sent back in a few moments. You can test out ResMem on our website by uploading a photo here or read the preprint here.
Recent Posts
- Esther Goldberg and Ophra Atar Awarded Quad Research Grants!
- Emma Megla’s Object and Spatial Memory Paper Published in Cognition
- UChicago Magazine Features Brain Bridge Lab Memorability Study
- Trent Davis’s Art of Memory Exhibition Covered by UChicago Magazine
- Brady Roberts’s Memory Augmentation Paper Published in Psychonomic Bulletin & Review
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