Category: AI – This Quote

Nicolas Carion and colleagues’s words on DETR explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Tsung-Yi Lin and colleagues’s words on Focal Loss explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Jonathan Long and colleagues’s words on fully convolutional networks explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Shaoqing Ren and colleagues’s words on Faster R-CNN explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Olaf Ronneberger and colleagues’s words on U-Net explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Jeffrey Pennington and colleagues’s words on GloVe explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

David G. Lowe’s words on SIFT features explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Christopher Watkins and Peter Dayan’s words on Q-learning explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Tomas Mikolov and colleagues’s words on word embeddings explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Leslie Valiant’s words on learnability explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Ronald J. Williams’s words on policy gradients explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Lotfi A. Zadeh’s words on fuzzy sets explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.