A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

One might think that understanding the most mysterious theory in physics shouldn’t be difficult for artificial intelligence ...

Scientists have developed a new model for heat exchangers of heat pumps, combining strengths of numerical modeling and ...

It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are neural nets? How do they work? In this article, we'll give an overview of the ...

Abstract: Neural Ordinary Differential Equations (NODEs) revolutionize the way we view residual networks as solvers for initial value problems (IVPs), with layer depth serving as the time step. In ...

Tensors provide a roadmap of AI neural network data.

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 ...

To mitigate these problems, this study presents a fine-tuning-based online learning recurrent neural network (RNN) for industrial soft sensors. Initially, a robust Lipschitz ordinary differential ...