There has been much discussion about the “black box” problem of neural networks. Sophisticated models can perform well on predictive workloads, but when it comes to backtracking how the system came to ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...

Artificial intelligence startup Neurala Inc. wants to help developers create deep learning applications faster by speeding up the process of feeding data to neural networks to train them. The company ...

By implementing an automated 3D cell segmentation process, researchers mapped neurons and muscle fibers at the single-cell ...

If you’ve spent any time reading about artificial intelligence, you’ll almost certainly have heard about artificial neural networks. But what exactly is one? Rather than enrolling in a comprehensive ...

Suppose you have a thousand-page book, but each page has only a single line of text. You’re supposed to extract the information contained in the book using a scanner, only this particular scanner ...

Accurate predictions Top row (left to right): dose distribution for a 110 MeV proton beam generated using the AI model; the true dose distribution; and the absolute difference between the two. Bottom ...