Kentridge doesn’t start with an idea, plan or storyboard. The gesture tells him what to do next—the sweep of charcoal across ...

The paper considers the problem of clustering pixels of a color raster image. The task is to compare the effectiveness of three different clustering methods: k-means, DBSCAN, agglomerative clustering.

The bottom is falling out for white-collar work while the top is being bid into the stratosphere. In theory, AI offers a ...

The purpose of segmentation is to depict an original picture in something easier to interpret. Generally, in image processing watershed algorithm is used essentially for segmentation purposes which is ...

Artificial intelligence may be marketed as society's great equalizer—transforming businesses, streamlining work and making life easier for all—but for many marginalized Americans, AI doesn't feel like ...

Big tech is working hard to sell us on artificial intelligence, in particular what is called “artificial general intelligence ...

As algorithms watch us, our inner witness—the self-observer—risks being replaced by performance. Reclaiming it may be key to ...

On this week’s episode, we dive into the hidden biases of the digital age with Dr. Safiya Umoja Noble, author of the ...