Abstract: This paper presents DGPC-Net, a novel dual-branch Gaussian Process Constrained Network designed to predict muscle activation intensity resulting from spinal cord stimulation (SCS) across ...
In asset-intensive industries, misclassified parts and inaccurate bills of materials cost far more than storeroom space. AI ...
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AI is redefining 3D scanning workflows
From architecture to e-commerce, AI-driven 3D scanning is streamlining the capture-to-model process, reducing manual labor, and improving accuracy. New platforms integrate machine learning for ...
The European Commission’s Medical Device Coordinating Group (MDCG) has revised several documents addressing the ...
Abstract: This paper proposes an adaptive sampling technique for spherical near-field (SNF) antenna measurements that leverages the predictive uncertainty of Gaussian process regression (GPR) to guide ...
GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1 ...
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