The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...
Abstract: This study focuses on improving the precision and global search capabilities of the Harris Hawk Optimization algorithm when dealing with debris flow disasters. The enhanced algorithm, called ...
Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...
Abstract: Human activity recognition (HAR) plays a crucial role in human-computer interaction, smart home, health monitoring and elderly care. However, existing methods typically utilize camera, radio ...
Moving forward requires coordinated technical, policy, and educational responses. An outright ban on AI in peer review, as is ...
Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...
Six machine learning algorithms—k-nearest neighbors, naive Bayes, multilayer perceptron, random forest, support vector machine, and Extreme Gradient Boosting (XGBoost)—were developed using 10-fold ...