Science – Page 77 – Minority Mindset

Securing the Blockchain: A New Approach to Smart Contract Safety

03.12.2025 by qfx

$AtomGraph establishes a novel framework for representing and reasoning about molecules as graphs, where atoms are nodes and bonds are edges, enabling the application of graph neural networks to predict molecular properties based on structural information and atomic features defined by $x_i \in \mathbb{R}^{f_v}$ for node $i$ and $e_{ij} \in \mathbb{R}^{f_e}$ for edge $(i, j)$.$

Researchers have developed a novel framework to detect and mitigate a critical vulnerability – atomicity violations – within the code that powers decentralized applications.

Beyond Confidence: Modeling Uncertainty in Graph Networks

03.12.2025 by qfx

A graph neural network iteratively distills information across a network’s layers-gaining and losing signal with each step-to construct a latent joint representation from which a credal layer maps uncertainty, highlighting reliable predictions in green and flagging out-of-distribution nodes-likely due to either inherent randomness or knowledge gaps-in red.

A new approach to graph neural networks explicitly quantifies prediction uncertainty, enhancing robustness in challenging data scenarios.

Beyond Checklists: Managing Risk in the Age of Data Science

03.12.2025 by qfx

As data science projects become increasingly complex, traditional risk management approaches fall short, overlooking critical ethical and societal considerations.

Bridging the Gap: How Language and Networks Boost Marketplace Recommendations

03.12.2025 by qfx

GraphMatch constructs embeddings of freelancers, clients, and job posts by leveraging a sampled, text-attributed graph of their work histories, enabling match probability predictions between entities through cosine similarity of these embeddings-a process that implicitly acknowledges the inevitable decay of relevance in dynamic labor markets.

A new framework, GraphMatch, combines the power of natural language processing with graph neural networks to significantly improve recommendations in fast-moving, two-sided digital marketplaces.

Decoding Stablecoin Trust: A New Lens on Reserve Transparency

03.12.2025 by qfx

Major stablecoins exhibit varied performance across scale and liquidity indicators, suggesting inherent trade-offs in their design and market behavior.

A novel framework uses artificial intelligence to reconcile on-chain data with issuer reports, providing a more comprehensive view of stablecoin credibility.

When AI Systems Talk: Navigating the Risks of Intelligent Collaboration

03.12.2025 by qfx

As artificial intelligence moves beyond isolated tools and into interconnected networks, a new landscape of systemic risks emerges, demanding a fresh approach to safety and governance.

Mapping the Flood: AI Sees Beyond Traditional Limits

03.12.2025 by qfx

New research harnesses the power of advanced artificial intelligence to create near-real-time global flood maps with unprecedented accuracy and speed.

Reading the Market: How Event Memory Boosts Stock Prediction

03.12.2025 by qfx

The StockMem framework establishes an overarching architecture for managing and utilizing stock market data, enabling a cohesive system for analysis and informed decision-making.

A new framework leverages large language models to extract and track key events from financial news, improving the accuracy of stock price forecasting.

Can AI Predict Corporate Meltdown?

03.12.2025 by qfx

New research suggests that tracking a company’s adoption of artificial intelligence can significantly improve the accuracy of early warnings for financial distress.

Building Trust in DeFi: A Smarter Approach to Lending

03.12.2025 by qfx

A new framework leverages blockchain and explainable AI to assess creditworthiness and unlock financial access for underserved communities.