WEST LAFAYETTE, Ind. — In the background of image recognition software that can ID our friends on social media and wildflowers in our yard are neural networks, a type of artificial intelligence ...

AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is ...

After being trained on relevant data sets, the chip was able to classify the images with 93.8 percent accuracy for sets containing two types of characters, and 89.8 percent accuracy for four types.

In 2022, they presented an image of the black hole in our Milky Way, Sagittarius A*. However, the data behind the images still contained a wealth of hard-to-crack information.

This multicenter cohort-based registry included 1,120 patients with cancer in the lung treated with stereotactic body radiotherapy. Pretherapy lung computed tomography images from the internal study ...

Gleich said. Rather than trying to trace the decision-making path of any single image through the network, Gleich’s approach makes it possible to visualize the relationship that the computer sees ...

Neural network image recognition systems are essentially algorithms that process data in a way that mimics the weighted firing pattern of neurons as an image is analyzed and identified.