Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
Abstract: Anomaly detection for time-series data has been viewed widely in many practical applications and caused lots of research interests. A popular solution based on deep learning techniques is ...
With support from the W. M. Keck Foundation, a Stevens–Yale collaboration is now transforming graviton detection from a ...
The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...
Abstract: Deep learning models in computer vision face challenges such as high computational resource demands and limited generalization in practical scenarios. To address these issues, this study ...
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