Researchers in Algeria have built an optimized neural network that predicts the analgesic activity of drug-like molecules ...

Researchers have developed a two-stage wavelet and swarm-optimized neural network framework that detects and classifies ...

High-performance brain-computer interfaces (BCIs) rely on stable neural representations, yet brain functional impairments ...

A long-term, hands-on learning repository for understanding Artificial Intelligence and Machine Learning from first principles to real-world implementation. This repository is being built as a ...

This important study presents evidence that the human brain encodes perceptual absence and numerical absence through distinct neural codes, while confirming that symbolic and non-symbolic forms of ...

The rapid integration of AI chatbots into education has created a need for objective methods to evaluate their pedagogical performance. This study introduces an AI Score, a composite metric designed ...

Class means were computed by averaging the covariance matrices over the Riemannian manifold for the MI and rest classes, and incoming samples were classified using the MDM decoder. The classification ...

Agentic AI is improving rapidly. Everyone notices the models seem smarter: they know more, make fewer mistakes, and have better ideas. If you follow the trend lines, it is easy to speak confidently ...

Interested in Cognition and Cognitive Neuroscience? As a Carnegie Classification recognized “R1” university, research is emphasized in the program from day one. Students are expected to attend weekly ...

keras_multi_target_signal_recognition Underwater single channel acoustic multiple targets recognition using ResNet, DenseNet, and Complex-Valued convolutional nerual networks. keras-gpu 2.2.4 with ...

Final Results for the year ended 30 June 2026 and Notice of AGM. Physiomics plc (AIM: PYC), a leading mathematical ...