Science

As AI-created content floods social media, discerning truth from fabrication is becoming increasingly difficult.

New research highlights the performance decay of current deepfake detection models when trained on static datasets, emphasizing the need for continuous learning and improved feature robustness.

A new approach decomposes the knowledge of large AI models into simpler components, boosting performance in financial applications.

A new deep learning approach leverages the power of chaotic oscillators to improve forecasting in unpredictable systems.

Can economic incentives prevent a catastrophic future with superintelligent artificial intelligence?

A new deep learning model improves the accuracy of day-ahead electricity price forecasting, even during extreme market conditions.

This research demonstrates how machine learning can personalize pension products by learning optimal investment strategies for diverse risk preferences.

A novel approach uses automatically generated data to dramatically improve the accuracy of artificial intelligence systems tackling complex financial questions.

A new method leverages spectral graph theory to generate synthetic molecules, improving the accuracy of machine learning models for imbalanced molecular property regression.

A new method uses the language of shapes to expose vulnerabilities and interpret the inner workings of deep learning models.