Jan 08, 2020

6 Posts

ImageNet face recognition labels on a picture
Jan 08, 2020

ImageNet Gets a Makeover

Computer scientists are struggling to purge bias from one of AI’s most important datasets. ImageNet’s 14 million photos are a go-to collection for training computer-vision systems, yet their descriptive labels have been rife with derogatory and stereotyped attitudes toward race, gender, and sex.
2 min read
Single Headed Attention RNN (SHA-RNN)
Jan 08, 2020

Language Modeling on One GPU

The latest large, pretrained language models rely on trendy layers based on transformer networks. New research shows that these newfangled layers may not be necessary.
2 min read
AI-generated face
Jan 08, 2020

Facebook vs Deepfakes

Facebook announced a ban on deepfake videos, on the heels of a crackdown on counterfeit profiles that used AI-generated faces. Facebook declared this week that it will remove deepfake videos it deems deliberately misleading.
1 min read
Breast cancer screening
Jan 08, 2020

Cancer in the Crosshairs

Computer vision has potential to spot cancer earlier and more accurately than human experts. A new system surpassed human accuracy in trials, but critics aren’t convinced.
2 min read
Excerpt from 2019 Artificial Intelligence Index
Jan 08, 2020

Tracking AI’s Global Growth

Which countries are ahead in AI? Many, in one way or another, and not always the ones you might expect. The Stanford Institute for Human-Centered Artificial Intelligence published its 2019 Artificial Intelligence Index, detailing when, where, and how AI is on the rise.
1 min read
EfficientDet explained
Jan 08, 2020

Easy on the Eyes

Researchers aiming to increase accuracy in object detection generally enlarge the network, but that approach also boosts computational cost. A novel architecture sets a new state of the art in accuracy while cutting the compute cycles required.
2 min read

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