The field of AI is notoriously filled with jargon. To better understand what is going on, here is a series of explainers, which will break down some of the most common terms used in AI, and why they a ...

This could be solved using three output units—one for each treatment—which are connected to the same hidden units. Neural networks have been applied to many interesting problems in different ...

A new platform uses machine learning to identify and map social interactions, unlocking new ways to study behavioral ...

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional ...

Both, human brain and modern artificial neural networks are extremely powerful. At the lowest level, the neurons work together as rather simple ...

researchers have been confronted with three major theoretical issues. How can we characterize the dynamics of neural networks with recurrent connections? How do the time-varying activities of ...

AlexNet revolutionized the use of neural networks for computer vision, creating one of the underpinnings of generative AI.

Researchers have mapped the long-range synaptic connections involved in vocal learning in zebra finches, uncovering new ...

The entire process is comprised of three steps: marker detection, corner refinement, and marker decoding, each based on a different neural network. This is the first time that a complete solution ...