Nature

Respiratory Motion Prediction Using Neural Networks

The rapid evolution of neural network methodologies has significantly improved the prediction of respiratory motion, which is critical for the precision of radiotherapy and robotic-assisted surgical ...
Crypto Briefing

Mati Staniszewski: Modern audio models replicate human speech using neural networks, the importance of text and voice characteristics, and Eleven Labs’ mission …

ElevenLabs' AI audio models are set to revolutionize business communication with human-like speech synthesis. Audio models ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

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 ...
Good e-Reader

How E-Reading Apps Use Neural Networks to Adapt Text to the Reader’s Level

E-reading apps have experienced a significant rise in popularity over the past several years, with individuals utilizing these platforms to enhance their educational, leisure, and language learning ...
eLife

Spontaneous emergence and evolution of neuronal sequences in recurrent networks

This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...