The 2024 Nobel Prize in physics has been awarded to John Hopfield and Geoffrey Hinton for their fundamental discoveries in machine learning, which paved the way for how artificial intelligence is ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

By tapping into a decades-old mathematical principle, researchers are hoping that Kolmogorov-Arnold networks will facilitate scientific discovery.

MicroCloud Hologram Inc. announces a noise-resistant Deep Quantum Neural Network architecture, advancing quantum computing and machine learning efficiency.

Take real-time visual systems, for instance: they must track objects across frames, manage occlusions, and maintain semantic ...

In recent years, scientists have found that machine learning–based weather models can make weather predictions more quickly ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

As the world grapples with climate change and dwindling fossil fuel reserves, biodiesel emerges as a promising renewable alternative to conventional ...

Explore the role of activation functions in deep learning and how they help neural networks learn complex patterns.