A joint research team between the Center for Quantum Information and Quantum Biology (QIQB) at The University of Osaka and ...

User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Will the reality live up to the hype? by Jonathan Ruane, Andrew McAfee and William D. Oliver In 1994, mathematician Peter Shor introduced a quantum-computing algorithm that could reduce the time it ...

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Abstract: Power peaks occur when multiple electric trains draw high power simultaneously, e.g., during acceleration. This stresses the power grid and may lead to blackouts, posing a major concern for ...

Abstract: We present an auxiliary-generator (AG)-based two-tier methodology that links an existing simplicial path-following algorithm to commercial harmonic-balance (HB) simulators for the efficient ...

This project implements a maze solving system based on the Depth-First Search (DFS) algorithm and explores bio-inspired optimization techniques to improve traversal efficiency. The system compares ...

Play / Pause / Stop / Step-by-step execution Speed control — 0.5×, 1×, 2×, 4× Seek to any point in the timeline Live ready / running / I/O queue visualization during playback scheduler_simulator/ ├── ...

Virtual synchronous generator (VSG) control techniques face limited adaptability in modern grid-connected systems. This study aims to enhance the adaptability and performance of VSG control by ...