Forecasting Financial Risk: Machine Learning’s Edge in Mortgage Default Prediction
A new analysis demonstrates the power of automated machine learning in predicting mortgage defaults, revealing key strategies for building robust and reliable models.
Science
Decoding Japan’s Financial Language: A Challenge for AI
A new benchmark reveals that even the most advanced language models struggle to grasp the subtle nuances of Japanese financial text.
Bridging Neural Networks and Gaussian Processes for Scalable Uncertainty
![The study demonstrates the BlendedNet dataset’s capacity for accurate force coefficient ([latex]C_{f_{z}}[/latex]) prediction, as evidenced by the close alignment between test data and B-INN predictions, with normalized absolute error providing a quantitative measure of this performance.](https://arxiv.org/html/2601.22860v1/fig/blendednet_cfz.png)
A new Bayesian model combines the strengths of both approaches to deliver accurate and reliable predictions for complex physical systems.
The Rise and Fall of Meme Coins: Tracking Digital Fads
A new dataset reveals the surprisingly short lifecycles of meme coins and offers tools to identify potential scams in the volatile world of cryptocurrency.
Predicting Fluid Chaos: A New Approach to Long-Term Stability
Researchers have developed a method to significantly improve the accuracy and reliability of machine learning models used to forecast complex fluid dynamics over extended periods.
Beyond Checklists: Rethinking How We Measure AI Safety
![A framework for improving AI safety benchmarking-derived from an analysis of 210 existing benchmarks-identifies nine key concerns and ten recommendations centered on extending safety evaluations beyond familiar scenarios, employing probabilistic risk quantification-as expressed by [latex]P(risk)[/latex]-and ensuring measurements correlate with demonstrable real-world safety outcomes.](https://arxiv.org/html/2601.23112v1/x1.png)
Current AI safety benchmarks often fall short of accurately assessing real-world risks, prompting a need for more rigorous and nuanced evaluation methods.
The Architecture of Intelligence: Unlocking Large Language Models
A new review systematically deconstructs the mathematical foundations of today’s most powerful AI systems, offering a unified perspective on their inner workings.
Beyond Words and Pixels: Evaluating AI for Financial Reasoning
A new benchmark assesses the ability of artificial intelligence to synthesize information from text, images, and videos for complex financial analysis.
The Unexpected Mathematics of Change
Across fields as diverse as physics, biology, and social science, researchers are repeatedly stumbling upon the same mathematical tools to describe moments of dramatic transition.
When Hurricanes Steal the Week-2 Forecast
New research reveals how both direct and indirect impacts from tropical cyclones can significantly reduce the accuracy of medium-range weather predictions.