Today’s computers need safeguards against random energy fluctuations. Thermodynamic computers would put those fluctuations to ...
SHANNON, CLARE, IRELAND, July 2, 2026 /EINPresswire.com/ — Announcing a new publication from Opto-Electronic Technology; DOI 10.29026/oet.2026.260010. Researchers ...
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: Fault-tolerant reconfiguration is essential for improving the reliability and efficiency of multiprocessor arrays. However, existing reconfiguration approaches primarily focus on algorithmic ...
Abstract: In this article, a deep-learning (DL) algorithm is proposed to efficiently predict the pattern of the antenna array. By establishing the Bayesian-optimized convolutional neural network (CNN) ...
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