IEEE

Machine Learning Techniques to Improve the Cognitive Workload Classification Using Multimodal Sensors’ Data

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
IEEE

Intelligent Human Gait Phase Classification Using Machine Learning Models

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
The Brighterside of News on MSNOpinion

Machine-learning analysis reclassifies armed conflicts into three new archetypes

There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even ...
The Business & Financial Times on MSN

Learning from the global AI race: Why we must lead on AI governance in Africa

By Harold Kwabena FEARONArtificial intelligence is reshaping the world in profound ways, and the countries that act decisively today will shape the direction of global innovation for decades to come.