Why it matters: Linear algebra underpins machine learning, enabling efficient data representation, transformation, and optimization for algorithms like regression, PCA, and neural networks. Python ...

More good reads and Python updates elsewhere NumPy 2.3 adds OpenMP support Everyone’s favorite Python matrix math library now supports OpenMP parallelization, although you’ll have to compile NumPy ...

Abstract: This article presents a novel aperture-shared architecture applied in integration of millimeter-wave (mmW) phased array and sub-6 GHz antenna using diversified metasurface structures. First, ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Abstract: With the continual adoption of Uncrewed Aerial Vehicles (UAVs) across a wide-variety of application spaces, robust aerial manipulation remains a key research challenge. Aerial manipulation ...

@article{bai2025towards, title={Towards a Unified Understanding of Robot Manipulation: A Comprehensive Survey}, author={Bai, Shuanghao and Song, Wenxuan and Chen, Jiayi and Ji, Yuheng and Zhong, Zhide ...