The integration of artificial neural networks (ANNs) into predictive analytics is transforming the way industries forecast trends and make data-driven decisions ...

Using advanced artificial neural networks combined with a network of sensors, the system quickly identifies the source of harmful gases like nitrogen dioxide that poses severe respiratory health risks ...

Older models struggled with depth issues in 2D images, but the novel neural network handles these problems with ease.

Accurately modeling particle movement through fluids is crucial in fields ranging from chemical engineering to aerospace. The ...

Artificial intelligence (AI) has permeated our lives. Our phones unlock at the sight of our faces. We can have entire text ...

A step toward improving online music education by developing an AI tool that can recognize musical notation is described in a ...

This review begins by introducing the development history of optical neural networks (ONNs) and the mathematical models of optical artificial neurons. It explores the differences in constructing ONNs ...

If AI systems can do their own AI research, they can come up with superior AI architectures and methods. Via a simple ...

The material changes ushered in under the aegis of artificial intelligence (AI) are not leading to the abolition of human ...

The close relationship between AI and highly complicated scientific computing can be seen in the fact that both the 2024 ...

Professor Yong-Hoon Kim's team from the School of Electrical Engineering succeeded for the first time in accelerating quantum ...

AMD appears to have plans to use a neural network to perform denoising and reconstruct scene details. It's not yet available, but it sounds a lot like Nvidia’s Ray Reconstruction feature in DLSS 3.5.