Mohamad Hassoun, author of Fundamentals of Artificial Neural Networks (MIT Press, 1995) and a professor of electrical and computer engineering at Wayne State University, adapts an introductory ...

Image recognition algorithms are nothing like our eyes, and here is blobby static proof. These images fooled an algorithm into seeing a gorilla, bikini, ...

New research from MIT is shedding light on the mysterious inner workings of Generative Adversarial Networks (GANs), and can reveal how the algorithms make chillingly human-like decisions about the ...

In addition to pure deep neural networks (DNNs), sometimes people use hybrid vision models, which combine deep learning with classical machine learning algorithms that perform specific sub-tasks.

Scientists dream of recreating mental images through brain scans, but current techniques produce results that are... fuzzy, to put it mildly. A trio of Chinese researchers might just solve that.

Facebook uses artificial neural networks for its DeepFace algorithm, which can recognize specific faces with 97% accuracy. It’s also an ANN that powers Skype’s ability to do translations in ...

Most current AI is built on neural networks, which are series of algorithms that recognize patterns in massive datasets, similar to how a human brain works. Our brains use billions of cells called ...

To a computer, part of our getting-dressed algorithm would look like “if it is below 50 degrees and it is raining, then pick the rain jacket and a long-sleeved shirt to wear underneath it.” ...

Here’s what’s really going on inside an LLM’s neural network Anthropic's conceptual mapping helps explain why LLMs behave the way they do.

Neural networks could also be used to analyze vast amounts of data. In 2009, a group of researchers used neural network techniques to win the Netflix Grand Prize.. At the time, Netflix was holding ...