Robotics

Robots dress humans without the full picture

Robots are already adept at certain things, such as lifting objects that are too heavy or cumbersome for people to manage. Another application they're well suited for is the precision assembly of items like watches that have ...

Computer Sciences

When it comes to AI, can we ditch the datasets?

Huge amounts of data are needed to train machine-learning models to perform image classification tasks, such as identifying damage in satellite photos following a natural disaster. However, these data are not always easy ...

Computer Sciences

Injecting fairness into machine-learning models

If a machine-learning model is trained using an unbalanced dataset, such as one that contains far more images of people with lighter skin than people with darker skin, there is serious risk the model's predictions will be ...

Computer Sciences

How well do explanation methods for machine-learning models work?

Imagine a team of physicians using a neural network to detect cancer in mammogram images. Even if this machine-learning model seems to be performing well, it might be focusing on image features that are accidentally correlated ...

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