This is a conversation with implications up and down the stack, from AI scientists to CEOs. What is interpretable AI? The definition of interpretable AI isn't exactly black and white.

Researchers used an AI model to create a new image of the black hole at the center of the Milky Way, with some concern from ...

The machine overlords of the future may now, if it pleases them, eliminate all black and white imagery from the ... a mixed bag (as the results of AI systems frequently are), and the idea of ...

A Swedish machine-learning researcher named Emil Wallner has released a free web tool called Palette.fm that automatically colorizes black-and-white photos using AI. After uploading a photo ...

Berlin-based Jina.ai, an open source startup that uses neural search to help its users ... Jina AI is moving companies from black and white into color, unlocking unstructured data in a way that ...

but what happens when a neural network does something altogether less terrifying with snapshots? It'll go all Ted Turner and colorize black and white images with what it thinks are the right ...

What goes on in artificial neural networks work is largely a mystery, even to their creators. But researchers from Anthropic have caught a glimpse. For the past decade, AI researcher Chris Olah ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI ... Neural Filters include Colorize, which can instantly recolor a black-and-white scene ...

In AI, especially with deep learning models, neural networks, or machine learning algorithms, "black box" systems have become a concern because they lack interpretability. This opaqueness becomes ...

"Deep neural networks are infamously hard to understand and are often considered 'black boxes,'" he said ... low-pass transformations filter out background noise, and high-pass filters do ...