Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, like vision, audio, touch, lidar, text, and more, from its environment to ...
Abstract: This paper proposes a novel neural network architecture RBF-KAN, integrating the theoretical robustness of Kolmogorov-Arnold Networks (KANs) with the localized features of Radial Basis ...
SCOTT 1 has derived a radial distribution function from a packing of about 1,000 spheres by measuring the Cartesian co-ordinates of each sphere and calculating the individual distribution functions of ...
A Coma Pattern-Based Autofocusing Method Resolves Bacterial Cold Shock Response at Single-Cell Level
Imaging-based single-cell physiological profiling holds great potential for uncovering fundamental bacterial cold shock response (CSR) mechanisms, but its application is impeded by severe focus drift ...
Abstract: Autonomous driving is a prominent research focus in the field of intelligent vehicles, with trajectory tracking serving as a fundamental control strategy. However, most existing tracking ...
Scientists have collected and summarized studies looking at how video games can shape our brains and behavior. Research to date suggests that playing video games can change the brain regions ...
This notebook is provided as a learning resource to aid students of machine learning in understanding artificial neural networks (ANNs). With this resource, you are able to visualise an animation of ...
This package provides tools to comfortably work with functions that cannot be defined analytically but only approximated over a grid. It builds on the Interpolations.jl package for actually computing ...
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