The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...
Abstract: The human–machine collaboration task-allocation problem involves three major challenges: role diversity, capability heterogeneity, and task dynamics. Most existing studies treat humans and ...
Abstract: Human Pose Estimation (HPE) using machine learning presents significant potential for objectively analyzing user movements within Virtual Reality (VR) environments, particularly for ...
AI is transforming learning – not by replacing people, but by empowering learning professionals to blend data, creativity and ...
The new era of learning is being shaped by an alliance between artificial intelligence and human expertise, giving rise to ...
In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...
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