From fractions and decimals to distance and time, the humble-but-versatile number line can deepen students’ understanding of ...
Abstract: Deep learning models for autonomous driving, encompassing perception, planning, and control, depend on vast datasets to achieve their high performance. However, their generalization often ...
Abstract: While convolution neural networks (CNNs) and vision transformers (ViTs) dominate visual representation learning, the growing model depth causes difficulty for interpretability. Although ...
Frugal AI bridges the digital divide by creating leaner systems for regions underserved by Silicon Valley’s resource-heavy models. These models prioritize local data sovereignty and cultural ...
aDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China bKey Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences, ...
The ability to anticipate future events continuously is a hallmark of biological vision, yet standard deep learning models often struggle with long-term coherence due to the rigid discretization of ...
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