The resulting machine-learning model would be a dog spotter. You would feed it an image ... represents a dog. Any of the three components of a machine-learning system can be hidden, or in a black box.

A neural field network can create a continuous 3D model from ... developed a machine learning algorithm that can create a continuous 3D model of cells from a partial set of 2D images that were ...

The resulting machine-learning model would be a dog spotter. You would feed it an image ... represents a dog. Any of the three components of a machine-learning system can be hidden, or in a black box.

Machine learning ... model more interpretable. Example-based explanations only make sense if we can represent an instance of the data in a humanly understandable way, which works well for images.

Other studies have shown that making imperceptible changes to an image ... model stealing, also called model extraction, involves an adversary probing a “black box” machine learning system ...

But what happens when a machine-learning algorithm ... works more like a black-box approach. However, depending on the structure of the algorithm, a UML model can actually be fully explainable.

Researchers working for Apple and from Cornell University quietly pushed an open-source multimodal LLM in October, a research release called "Ferret" that can use regions of images for queries.