Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...

[1] F. Scarselli, M. Gori, A.C. Tsoi, M. Hagenbuchner, and G. Monfardini. The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61 80, 2009.

In July, Figure AI CEO Brett Adcock shared video footage of their humanoid robot Figure 02 performing laundry tasks such as picking up clothes and loading them into a washing machine. The robot cannot ...

The curious minds at ColdFusion examine how neural networks are revolutionizing the way we interact with AI. Donald Trump suffers double legal blow within hours Never Toss a Banana Peel Outside—Here’s ...

Bees’ remarkable visual learning abilities make them ideal for studying active information acquisition and representation. Here, we develop a biologically inspired model to examine how flight ...

When working with minimal APIs in ASP.NET Core, you can define routes for the HTTP verbs using mapping methods such as MapGet, MapPut, MapPost, and MapDelete. While these methods allow you to route ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...

Substance use prevalent in scooter injuries: One in four e-scooter riders hospitalized between 2016 and 2021 were under the influence of substances like alcohol, opioids, marijuana, or cocaine at the ...

Visual place recognition (VPR) is the ability to recognize locations in a physical environment based only on visual inputs. It is a challenging task due to perceptual aliasing, viewpoint and ...