This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Think of artificial intelligence (AI) as a forensic magnifying glass... here is how it works. In the simplest terms, ...

Modern LLMs typically return answers through a token-by-token streaming process, where each token is packaged into a separate ...

For the past five years, the artificial intelligence industry has been effectively synonymous with one word: Transformer.

Physicists have spent decades trying to explain puzzling radio bursts and other odd signals that seem to arrive from deep ...

Artificial intelligence has become the market’s favorite miracle technology, yet every boom eventually meets the limits of ...

Forests are key regulators of the Earth’s carbon and water cycles, yet their resilience is increasingly challenged by global ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...

During each of these phases, our brains show markedly different characteristics in their architecture, according to the new ...

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...