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 Recent advancements in all-in-one image restoration models have revolutionized the ability to address diverse degradations through a unified framework. However, parameters tied to specific ...

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 ...

When we hear about children who’ve survived brutal abductions, we expect that once they’re back with their loving family and have had some therapy, they’ll be okay. However, it’s not that simple. The ...

Abstract: The Multiple Signal Classification (MUSIC) algorithm has been extended to broadband angle-of-arrival (AoA) estimation through the development of polynomial MUSIC, which relies on a ...

The upcoming couple of weeks are shaping up to be a critical period for XRP, with the U.S. Securities and Exchange Commission (SEC) postponing its decisions on new spot exchange-traded funds (ETFs) ...

Applications are open for the 2026 cohort of SFI Complexity Postdoctoral Fellows, who hold the Omidyar Fellowship. This program supports recent Ph.D. recipients for up to three years while giving them ...

This tool doesn't just say "complexity: 15" - it explains why it's hard to understand and how to refactor it.