Today’s computers need safeguards against random energy fluctuations. Thermodynamic computers would put those fluctuations to ...
During the day, our brain acquires new memories; at night, during sleep, it consolidates the important ones and eliminates ...
For many landlords and property managers, this data-driven process has an appealing aura of objectivity, consistency, and ...
Google’s Willow quantum processor ran a specific algorithm 13,000 times faster than a classical supercomputer, according to ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Latest AI mystery is that there are 11 specific nouns used frequently by LLMs when creating short stories. Why those words?
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Explorative PSO for drone swarms in occluded target tracking

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...
ABSTRACT: In this paper, we propose a unification of gradient temporal difference (GTD) learning algorithm GQ( σ,λ ) for off-policy learning. The proposed GQ( σ,λ ) ranges from gradient Tree?Backup( λ ...
Abstract: We proposed a novel Kinematic Batch Informed Trees algorithm (K-BIT*) to solve problems of the low efficiency, poor geometric smoothness and local optimum when conducting path planning for ...
Abstract: In recent years, physics-informed neural networks (PINNs) have developed significantly as a deep learning technology. In analogy to the selection of grid cells in traditional numerical ...