The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

Experienced trader and quantitative strategist, specializing in strategic market analysis, explains how cognitive patterns ...

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

The Australian Securities and Investments Commission has launched a consultation on modernising its market integrity rules, citing the rapid spread of algorithmic and AI-driven trading across equities ...

Abstract: A Low-complexity Layered Decoding Algorithm for LDPC Codes is proposed. Our modified algorithm reduces the number of operations in variable nodes to lower LDPC decoder power consumption. The ...

Abstract: We propose and experimentally demonstrate an optimized sparsification algorithm for low-complexity adaptive equalizers in short-reach coherent transmission ...

The field of polynomial systems occupies a central role in computational mathematics, where the intricate interplay between algebra, geometry, and computational complexity is evident. Research in this ...

The combination of high-order modulation formats and linewidth-tolerant carrier phase estimation (CPE) can effectively improve spectrum efficiency and relax the limitation of laser linewidth. This ...