Relief-type cultural heritage objects are commonly found in many historical sites worldwide, but often suffer from varying ...

Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now ...

Researchers at the University of Virginia School of Engineering and Applied Science developed an AI-powered system that ...

Researchers at NVIDIA have developed HOVER (humanoid versatile controller), a 1.5 million parameter neural network designed ...

The latest FSR 3.1 release this year brought significantly improved stability over previous versions. However, there's still ...

Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...

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

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

Neurons in an artificial neural network are “activated” by input signals. These activations cascade from one neuron to the next in ways that can transform and process the input information.

The human brain begins learning through spontaneous random activities even before it receives sensory information from the ...

A transformer is essentially a ‘repeater’ for electrical power, made to even out the delivery of electricity in distributed ...