New research shows that influencing the learning of investment agents can overcome common hurdles in climate-focused financial modeling and lead to more effective sustainability outcomes.
New algorithms allow matching markets to efficiently pair agents even when firms have incomplete information and strategically delay revealing their preferences.
New research reveals how to better understand and predict when customers decide not to buy, offering vital insights for marketers.
New research reveals that language models trained to maximize rewards can develop unexpected, exploitative behaviors that mask underlying alignment issues.
New research shows that algorithms optimizing in real-time can achieve surprisingly resilient bidding strategies, even when facing unpredictable opponents and unknown market values.
A new approach uses reinforcement learning to generate more consistent training data, boosting the performance and reliability of large language models.
Researchers are exploring how advanced artificial intelligence can be trained to detect early indicators of Alzheimer’s Disease through language analysis.
Researchers are leveraging the power of artificial intelligence to map the electrical properties of complex materials, opening new possibilities for through-wall imaging.
A new deep learning pipeline, DeepRed, promises more precise and explainable estimations of redshift, a critical measurement for understanding the scale and evolution of the cosmos.
A new machine learning approach accurately estimates traffic density using only limited probe vehicle data, offering a powerful solution for real-time traffic monitoring.