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 ...

Abstract: The exponential growth in AI algorithm complexity creates significant challenges for designing heterogeneous AI SoCs, requiring rapid and cost-effective development cycles. Open-source ...

Abstract: The traditional Rapidly-exploring Random Tree Star (RRT*) suffers from the low path generation efficiency, numerous invalid exploration points, and unsuitability for navigation in unknown ...