Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
If your makeup routine needs streamlining, sticks are where it’s at! From foundation and contour to blush and highlighter, swipe-and-go formulas are designed to be easy to use, effortless to blend and ...
Abstract: The place recognition capabilities for long-term autonomous navigation of mobile robots face multiple challenges, including degradation environments, dynamic disturbances, and limited ...
We present STream3R, a novel approach to 3D reconstruction that reformulates pointmap prediction as a decoder-only Transformer problem. Existing state-of-the-art methods for multi-view reconstruction ...
In spring 2026, social media users spread a rumor that a new data center in Utah would use about 16 billion gallons of water a year and that the center would be 2.7 times the size of Manhattan. Utah ...
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