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

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

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

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

At the 2025 Society for Neuroscience meeting, scientists discussed how artificial intelligence can aid fundamental ...

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 collaboration between SISSA's Physics and Neuroscience groups has taken a step forward in understanding how memories are stored and retrieved in the ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Alphabet's Search and Cloud segments show robust double-digit growth. Read why every pullback should be viewed as a buying opportunity for GOOGL stock.

Abstract: Pedestrian trajectory prediction plays a crucial and fundamental role in many computer vision tasks. Most existing works utilize recurrent neural networks to extract temporal features from ...