Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
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Padho.AI launches AI-powered learning platform in India
padho.ai: The AI-Powered Learning Platform That Understands How Every Child Thinks ...
Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...
Abstract: The successful identification of stars is a fundamental prerequisite for satellite attitude determination by star sensors. Conventional star identification algorithms typically construct ...
Abstract: The successful execution of path planning algorithms can be substantially impacted by the selection of appropriate planner’s parameters. Identifying the optimal parameters suitable for a ...
(GLOBE NEWSWIRE) -- 41caijing.com, China's first AI PR service provider, today announced the launch of its AI-native PR and GEO communication infrastructure designed for Chinese brands expanding into ...
GraphStorm is an enterprise-grade graph machine learning (GML) framework designed for scalability and ease of use. It simplifies the development and deployment of GML models on industry-scale graphs ...
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