Neural nets typically elaborate on three core components: a branching, highly parallel, feed-forward system of 1) neurons or nodes, plus 2) each node's connections and their weights. (More on weights ...

Carbon Robotics' neural net for agriculture could be more advanced than self-driving cars, says founder Paul Mikesell.

Here’s what you’ll learn when you read this story: Scientists showed that it’s possible to reproduce an entire cerebral cortex inside one of the world’s fastest computers. The model represents the ...

The problem of hallucinations -- artificial intelligence (AI) models that assert falsehoods under a veneer of being authoritative -- has led some scholars to conclude that generative AI simply cannot ...

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...

The ionosphere -- the region of geospace spanning from 60 to 1000 kilometers above the Earth -- impairs the propagation of radio signals from global navigation satellite systems (GNSS) with its ...

For all their brilliance, artificial neural networks remain as inscrutable as ever. As these networks get bigger, their abilities explode, but deciphering their inner workings has always been near ...

What prompted the MIT team to research and develop a nanoscale "flashlight"? Details on the metasurface that was designed to create the source-beam collimator. How a DNN, CNN, and machine learning ...

Recently developed artificial intelligence (AI) models are capable of many impressive feats, including recognizing images and producing human-like language. But just because AI can perform human-like ...