We introduce EmoNet-Face, a suite of diverse, AI-generated facial emotion datasets with a novel 40-category taxonomy, to improve AI's ability to understand human emotions more accurately and empathetically.

We present Neural Attention Search (NAtS), an end-to-end learnable sparse transformer