IEEE

Distributed Practical Predefined-Time Output Optimal Allocation of Resources for Heterogeneous Multi-Agent Systems

Abstract: This paper addresses the issue of distributed predefined-time output optimization for heterogeneous multi-agent systems with equality constraints. A novel distributed algorithm is proposed ...

Quantum Breakthrough: New Algorithm Solves “Impossible” Materials in Seconds

A new quantum-inspired algorithm is reshaping how scientists approach some of the most complex materials known, enabling ...
IEEE

Quantized Distributed Nonconvex Optimization Algorithms With Linear Convergence Under the Polyak–Łojasiewicz Condition

Abstract: This article considers distributed optimization for minimizing the average of local nonconvex cost functions, by using local information exchange over undirected communication networks. To ...

Localized Distribution In The AI Era: The DIRHAM Framework

The DIRHAM framework redefines distribution strategy, showing how paid signals, influencers, and AI visibility work together ...
PNAS

Correction for Anand et al., Convolutional neural networks outperform other presence-only species distribution modeling algorithms

The authors note that, due to a production error, Figures 1–4 appeared in the incorrect order. Figure 1 should appear as Figure 2, Figure 2 should appear as Figure 3, Figure 3 should appear as Figure ...