NatureOpinion

“It keeps me awake at night”: machine-learning pioneer on AI’s threat to humanity

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

Topology-aware deep learning model enhances EEG-based motor imagery decoding

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...
Analytics Insight

10 Best Python Libraries for Computer Vision in 2025

Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...
IEEE

Deep Active Learning for Image Hierarchical Classification by Introducing Dependencies and Constraints Between Classes

Abstract: Deep active learning (DeepAL) extends supervised deep learning to human-machine interactive scenarios with limited annotation budgets. Most existing DeepAL approaches for visual recognition ...
C&EN

Improving Machine Learning Classification Predictions through SHAP and Features Analysis Interpretation

Department of Life Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 103, 41125 Modena, Italy Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, ...
GitHub

ohtlab/headpose-fsanet-pytorch

Note: My results are slightly worse than original author's results. For best results, please refer to official repository 1. Name Version python 3.7.6 numpy 1.18.5 ...
IEEE

SeCoMIL: Semantic Anchor-based Context-Aware Multiple Instance Learning for Whole Slide Image Classification

Abstract: Context-aware Multiple Instance Learning (MIL) is gaining popularity in Whole Slide Image (WSI) classification. Existing methods typically convert instances in a WSI into one-dimensional ...