"To recognize high-level features, the algorithm needs context to understand what is in the image. For example, if there is a face in an image, it's likely that the pixels near the top are ...

Conventional multi-shot supervised systems often demand thousands, if not hundreds of thousands, of labeled images with which to train the algorithm ... For example, it can identify both pasta ...

Give the algorithm too ... traumatizing child-oriented programming is on YouTube brought those issues to light this week. In his Medium post, Bridle used various examples to prove his point ...