AI based on large language models poses risks to Web3 principles. Enter NeuroSymbolic AI, which offers greater auditability ...

MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.

We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality. “It’s a network effect,” said UC Santa Barbara mechanical engineering professor Francesco ...

Researchers combine acoustic monitoring with a neural network to identify fish activity on coral reefs by sound. They trained the network to sort through the deluge of acoustic data automatically ...

Artificial neural networks are behind much of the AI technology we use today. In the same way your brain has neuronal cells linked by synapses, artificial neural networks have digital neurons ...

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 inspired by how own our ...

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...

One thumb per hand is enough. Not so for neural networks, the leading artificial intelligence systems for performing humanlike tasks. As they’ve gotten bigger, they have come to grasp more. This has ...