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Beyond Search: How Prompt Engineering is Reshaping Financial Data Retrieval

19.11.2025 by qfx

The proposed PRISM framework offers a novel approach to a problem, acknowledging that even the most innovative solutions inevitably contribute to future technical debt as production environments expose unforeseen limitations.

A new framework, PRISM, leverages the power of carefully crafted prompts and in-context learning to significantly improve how we access and analyze financial information.

Categories Science

AI Agents Take Control: The Future of Power Systems Engineering

19.11.2025 by qfx

An agentic AI framework leverages an ensemble of specialized AI agents to benchmark power system performance, effectively translating user prompts into native pandapower code for tasks such as power flow analysis, contingency studies, and short-circuit calculations-a process that, while theoretically elegant, will inevitably encounter the practical limitations of real-world power grid complexities.

As artificial intelligence evolves beyond simple automation, agentic systems are poised to reshape how we design, operate, and maintain the electrical grid.

Categories Science

Predicting Diabetic Foot Complications with Interpretable AI

19.11.2025 by qfx

(a)Risk of Future Foot Complication (Risk 1) The study demonstrates that individuals exhibiting heightened sensitivity to foot ulceration-indicated by a plantar pressure exceeding $10 N/cm^2$-experience a statistically significant increase in the probability of developing future foot complications, thereby highlighting the critical importance of early pressure management in preventative podiatric care.

Researchers have developed a new deep learning model to forecast post-discharge foot complications for diabetic patients, prioritizing both accuracy and the ability to understand why predictions are made.

Categories Science

Trading with Intelligence: A New Framework for Smarter Financial Markets

18.11.2025 by qfx

FinRS embodies a risk-sensitive architecture, integrating perceptual inputs with dynamic memory allocation and dual decision agents to achieve reflective updates guided by multi-timescale reward signals, thereby enabling nuanced responses to uncertain environments.

Researchers have developed a novel system that uses advanced artificial intelligence to navigate the complexities of financial trading and optimize investment strategies.

Categories Science

Stealing the Graph: Replicating Powerful AI with Public Data

18.11.2025 by qfx

Graph-specific extraction attacks demonstrate a vulnerability wherein targeted extraction of structural information compromises network privacy, revealing details about the relationships between nodes rather than simply the nodes themselves, as evidenced by performance variations across different graph structures.

New research reveals that sophisticated graph-based AI models are surprisingly susceptible to attacks that allow attackers to recreate their capabilities using only publicly available information.

Categories Science

Containing Financial Contagion: A Control-Theoretic Approach

18.11.2025 by qfx

New research demonstrates how optimal control techniques can be used to model and mitigate the spread of distress within complex financial networks.

Categories Science

Banking on Language: A New Approach to Financial Data

18.11.2025 by qfx

The distribution of downstream task performance across all metrics demonstrates the inherent variability in model outcomes, highlighting that even seemingly successful systems exhibit a range of capabilities and limitations.

Researchers have developed a novel model that understands financial transactions by treating them as natural language, unlocking insights from limited data.

Categories Science

Decoding Cause and Effect: AI Predicts Traffic with Human-Like Reasoning

18.11.2025 by qfx

Event-CausNet establishes an overarching architecture for discerning event causality, structuring relationships to understand how events influence one another within a complex system.

Researchers have developed a new AI framework that leverages natural language understanding to improve the accuracy and interpretability of traffic forecasting, especially during unexpected events.

Categories Science

Smarter Financial Advice: How Knowledge Graphs are Leveling Up AI Recommendations

18.11.2025 by qfx

The study demonstrates that FLARKO, and its RAG-enhanced variants-particularly Parallel RAG-FLARKO-achieve superior performance in simultaneously optimizing for both behavioral alignment (measured by Preference@3) and profitability (Prof@3), as evidenced by consistently higher Comb@3 scores-a metric quantifying the frequency of recommending assets exhibiting both qualities-with standard error accounted for in the analysis.

A new framework efficiently integrates personal and market data to deliver more relevant and personalized financial asset recommendations using large language models.

Categories Science

Seeing Through the Smoke: AI Explains Wildfire Risk

18.11.2025 by qfx

U.S. extreme disaster events have incurred increasingly significant costs over time, reflecting a growing financial burden associated with these occurrences.

New research demonstrates how explainable AI is unlocking the ‘black box’ of wildfire prediction models to build greater trust in forecasts and improve disaster preparedness.

Categories Science
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