Mapping the Adolescent Brain to Predict Tobacco Use
A new machine learning model leverages brain connectivity and personal data to forecast the likelihood of future tobacco use in adolescents.
Science
Decoding Bitcoin: A New Neural Network for Price Forecasting
Researchers have developed a parallel gated recurrent unit (GRU) architecture that offers improved accuracy and efficiency in predicting Bitcoin prices.
Following the Money: AI-Powered Paths to Smarter Venture Capital
New research demonstrates how combining graph-based knowledge with large language models can significantly improve the accuracy of venture capital investment predictions.
When AI Tries to Persuade: Unmasking Manipulative Language Models
Researchers have developed a new benchmark to assess how readily large language models exhibit manipulative behaviors, going beyond basic safety to reveal the subtle ways they can influence users.
The AI Mirror Test: Can Language Models Know What They’ve Written?
New research reveals that current AI text detectors are easily tricked, raising serious questions about their reliability in educational settings.
Spotting the Unexpected: AI Learns to Detect Rare Driving Risks
A new approach uses unsupervised learning to identify unusual driving patterns that could signal potential safety hazards.
Beyond the Lab: Building Machine Learning You Can Rely On
As machine learning models move into real-world applications, their performance can degrade when faced with unexpected data-this review explores how to ensure consistent reliability.
Predicting the Ocean’s Pulse with Deep Learning
A new study showcases how artificial intelligence can accurately forecast ocean dynamics using limited data from satellite observations.
Beyond Backtesting: Building Trustworthy Crypto Trading Strategies
![AutoQuant navigates the treacherous landscape of model optimization with a two-stage Bayesian search and double-screening process, ensuring stability through continuous live monitoring, and enforces rigorous financial alignment via a [latex]t\!+\!1[/latex] execution schedule and strict avoidance of predictive funding-a system designed to mitigate risk by prioritizing present certainty over speculative gain.](https://arxiv.org/html/2512.22476v1/figure0_flow.png)
New research highlights the critical need for realistic cost modeling and rigorous validation to prevent inflated performance estimates in cryptocurrency perpetual futures trading.
Seeing Through the Noise: AI-Powered Insights from Network Traffic
A new framework combines the power of large language models with targeted data retrieval to dramatically improve network traffic analysis and threat detection.