Science

As AI image generation advances, distinguishing between authentic and synthetic satellite imagery is becoming increasingly critical.

New research demonstrates that carefully crafted, slope-based manipulations can effectively deceive machine learning models used in financial time-series forecasting.

New research reveals that advanced retrieval methods, including refined search and reranking techniques, significantly improve the accuracy of large language models when applied to complex financial document question answering.

A new review examines whether foundation models, initially underwhelming in finance, can gain predictive power with targeted financial data training.

New research demonstrates how advanced artificial intelligence models can significantly improve the accuracy of forecasting in rapidly changing market conditions.

A new approach combines the power of large language models and evolutionary algorithms to identify more reliable and understandable investment strategies.

A new approach accurately forecasts user behavior, from everyday actions to the surprisingly rare, on platforms like Bluesky.

Researchers are leveraging the power of artificial intelligence to automatically optimize PyTorch inference on GPUs, achieving significant speedups without manual intervention.

New research demonstrates that even well-trained machine learning models can be vulnerable to attacks that reveal whether specific data points were used in their training.

A new study comprehensively assesses how self-supervised learning can bolster the detection of increasingly realistic manipulated audio and video.