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Decoding Financial Crime: How Tech is Reshaping Regulation

22.11.2025 by qfx

A new wave of regulatory technology is moving beyond simple compliance to proactively detect and prevent money laundering and terrorist financing.

Categories Science

The AI Conversation Predicts Job Market Shifts

21.11.2025 by qfx

The increasing prevalence of generative AI is reflected in the rising fraction of workers transitioning into GenAI-related roles-a trend mirrored by the growing intensity of large language model discussions across news media and Reddit platforms.

New research suggests that online discussions surrounding artificial intelligence can serve as a surprisingly accurate leading indicator of changes in employment trends.

Categories Science

Building a Safer Tomorrow: AI Spots Hazards on Construction Sites

21.11.2025 by qfx

The system explores predictive prompting to anticipate accident scenarios, effectively framing the challenge as a forecasting problem rather than a reactive one.

New research shows artificial intelligence can proactively identify safety risks in construction by analyzing both images and textual reports.

Categories Science

Mapping Market Turning Points with Geometric Analysis

21.11.2025 by qfx

A new framework uses geometric principles and rigorous testing to identify key zones where financial markets are likely to reverse course.

Categories Science

Predicting Epidemics with Digital Twins: A Machine Learning Approach

21.11.2025 by qfx

Researchers are leveraging agent-based models and machine learning to forecast disease spread within interconnected networks of wireless sensors.

Categories Science

Beyond the Hype: Can Large AI Models Predict Corporate Failure?

21.11.2025 by qfx

Llama-3.3 demonstrates consistent probability distributions of self-reported classifications whether evaluated in zero-shot or in-context learning paradigms across a variety of datasets.

A new study challenges the assumption that powerful foundation models automatically translate to improved performance in financial risk assessment.

Categories Science

Tracing AI’s Roots: A New Framework for Trust and Risk

21.11.2025 by qfx

Understanding the complex network of components and actors behind artificial intelligence is becoming crucial for safe and reliable deployment in critical systems.

Categories Science

Power Grid Stability: A Collaborative AI Approach

21.11.2025 by qfx

A distributed control architecture, leveraging the principles of federated learning, proposes a method for systems to evolve and adapt without succumbing to the inevitable entropy of centralized failure.

A new framework leverages federated learning and interpretable neural networks to bolster resilience in power transmission networks.

Categories Science

Predicting Heart Failure: A Smarter, Cost-Sensitive Approach

21.11.2025 by qfx

Clinical impact projection curves synthesize prediction error and treatment costs across varying decision thresholds, factoring in both patient quality of life and healthcare system considerations, to reveal the competing clinical and economic factors at a population level and, for individual patients, to visualize cost-benefit tradeoffs within personalized risk bands.

Researchers have developed a new framework that combines machine learning with large language models to improve predictions of patient outcomes and inform more effective, affordable care.

Categories Science

Predicting the Ionosphere: A New Forecast Model Takes Shape

20.11.2025 by qfx

During a moderate geomagnetic storm, an IonCast LSTM model-trained with an extended 16-step context window and a denser dataset-and an IonCast Graph Neural Network (GNN) both demonstrate predictive capabilities of ionospheric conditions, with the LSTM exhibiting a tendency toward underprediction and the GNN offering improved accuracy as evidenced by its proximity to the perfect prediction diagonal in a 12-hour forecast distribution, though both models ultimately show increasing root mean squared error (RMSE) with longer forecast horizons when contrasted against a simple persistence model.

Researchers have developed a deep learning framework, IonCast, to improve the accuracy of global ionospheric forecasting and enhance our understanding of space weather events.

Categories Science
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