Science – Page 19 – Minority Mindset

Decoding Finance with AI: A New Suite of Language Models

13.11.2025 by qfx

The study demonstrates that specialized large language models—designated “Pro Finance”—achieve measurable gains in financial translation, indicating that tailoring model architecture to domain-specific language improves performance beyond general-purpose counterparts, with improvements quantified as a percentage relative to baseline models.

Researchers have developed a collection of powerful language models specifically adapted to understand and process complex financial data and tasks.

Too Connected to Fail: How Bank Consolidation Amplified the 2008 Crisis

13.11.2025 by qfx

The event study demonstrates the dynamic treatment effects of the 2008 financial crisis, revealing how its impact evolved over time.

New research reveals that the post-crisis drive to consolidate financial institutions inadvertently increased systemic risk by creating more interconnected and vulnerable networks.

Taming Chaos: Tensor Networks Predict Turbulent Systems

13.11.2025 by qfx

A tensor network model efficiently encodes non-Markovian correlations within chaotic dynamics by hierarchically mapping sequences of past states—represented as input vectors with dimension $dd$ at each time step—to predicted future states through successive tensor contractions performed by rank-4 weight tensors.

A new approach leverages tensor networks to accurately forecast the long-term behavior of complex, chaotic dynamics.

Predicting State-Level Financial Distress with Privacy-Preserving AI

13.11.2025 by qfx

A federated learning model’s performance in predicting financial distress varies significantly across U.S. states, as evidenced by differing precision, recall, $F1$-score, and AUC values when each state operates as an independent client, revealing substantial regional heterogeneity in model effectiveness.

A new approach leverages federated learning and explainable AI to identify financial risks across U.S. states without sharing sensitive data.

AI Learns to Defend Itself: A New Era for Language Model Safety

13.11.2025 by qfx

Researchers have developed a system that allows large language models to dynamically improve their defenses against evolving adversarial attacks.

Eyes on the Sky: AI Spots Methane Leaks From Space

12.11.2025 by qfx

Hyperspectral satellite data, coupled with machine learning models, facilitates not only the detection of methane leaks but also verification of mitigation efforts, as demonstrated by instances where alerts triggered by the system prompted successful repairs and ongoing infrastructure improvements—a process indicating a shift from simple detection to proactive ecosystem management.

A new deep learning system is now operational, using data from multiple satellites to identify and quantify methane point sources across the globe.

Predicting the Future: How News Articles Foretell Planned Events

12.11.2025 by qfx

A new approach leverages natural language processing to anticipate social unrest and planned gatherings by analyzing news coverage.

AI Underwriting: Governing Large Language Models in Reinsurance

12.11.2025 by qfx

A new framework for ensuring the reliability, transparency, and regulatory compliance of AI models used in critical reinsurance functions.

When AI Stumbles: Lessons from Real-World Inference Failures

12.11.2025 by qfx

The distribution of incidents reveals a correlation between model modality and severity, suggesting that certain approaches are disproportionately associated with more critical failures.

A detailed analysis of production incidents reveals critical vulnerabilities and practical strategies for building more reliable AI services.

The Prediction Machine: Can AI Rival Human Forecasters?

12.11.2025 by qfx

The AIA Forecaster leverages a defined architecture to facilitate predictive capabilities.

A new system leveraging artificial intelligence achieves forecasting accuracy comparable to top human prediction experts.